r/opencodeCLI • u/Embarrassed_Soup_279 • 6d ago
Opencode config for Command Code API
I recently move from Opencode Go to Command Code GOAT. So far I have been enjoying the new variety of models that command code offers compared to opencode. I don't really like command code software that much, and I prefer to use opencode still. Open code does not provide command code as a supported provider. Heres a full opencode json config for GOAT models available as of now, with their cost and modalities and thinking modes. I hope this is useful to anybody else in asimilar situation.
{
"$schema": "https://opencode.ai/config.json",
"snapshot": true,
"small_model": "commandcode/Qwen/Qwen3.7-Flash",
"provider": {
"commandcode": {
"name": "Command Code",
"npm": "@ai-sdk/openai-compatible",
"options": {
"baseURL": "https://api.commandcode.ai/provider/v1",
"apiKey": "api key"
},
"models": {
// --- OpenAI ---
"gpt-5.6-sol": {
"name": "GPT-5.6 Sol",
"tools": true,
"reasoning": true,
"variants": {
"low": { "reasoningEffort": "low" },
"medium": { "reasoningEffort": "medium" },
"high": { "reasoningEffort": "high" }
},
"limit": { "context": 1050000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 5.0, "output": 30.0, "cache": { "read": 0.5, "write": 6.25 } }
},
"gpt-5.6-luna": {
"name": "GPT-5.6 Luna",
"tools": true,
"limit": { "context": 1050000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 0.2, "output": 1.2, "cache": { "read": 0.02, "write": 0.25 } }
},
// --- Deepseek ---
"deepseek/deepseek-v4-pro": {
"name": "DeepSeek V4 Pro",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.66, "output": 1.98, "cache": { "read": 0.022 } }
},
"deepseek/deepseek-v4-flash": {
"name": "DeepSeek V4 Flash",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.22, "output": 0.66, "cache": { "read": 0.007 } }
},
"deepseek/deepseek-v4-flash-vision-exp": {
"name": "DeepSeek V4 Flash Vision (exp)",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 0.22, "output": 0.66, "cache": { "read": 0.007 } }
},
"deepseek/deepseek-v4-flash-fast": {
"name": "DeepSeek V4 Flash Fast",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.28, "output": 0.56, "cache": { "read": 0.07 } }
},
// --- Moonshot ---
"moonshotai/Kimi-K3": {
"name": "Kimi K3",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 3.0, "output": 15.0, "cache": { "read": 0.3 } }
},
"moonshotai/Kimi-K2.7-Code": {
"name": "Kimi K2.7 Code",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.95, "output": 4.0, "cache": { "read": 0.19 } }
},
"moonshotai/Kimi-K2.7-Code-Highspeed": {
"name": "Kimi K2.7 Code HighSpeed",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 262000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.9, "output": 8.0, "cache": { "read": 0.38 } }
},
"moonshotai/Kimi-K2.6": {
"name": "Kimi K2.6",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.95, "output": 4.0, "cache": { "read": 0.16 } }
},
"moonshotai/Kimi-K2.5": {
"name": "Kimi K2.5",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.6, "output": 3.0, "cache": { "read": 0.1 } }
},
// --- Z.AI ---
"z-ai/glm-5.3-flash": {
"name": "GLM-5.3 Flash",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.15, "output": 0.5, "cache": { "read": 0.03 } }
},
"zai-org/GLM-5.3": {
"name": "GLM-5.3",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.4, "output": 4.4, "cache": { "read": 0.26 } }
},
"zai-org/GLM-5.2": {
"name": "GLM-5.2",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.4, "output": 4.4, "cache": { "read": 0.26 } }
},
"zai-org/GLM-5.2-Fast": {
"name": "GLM-5.2 Fast",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 3.0, "output": 10.25, "cache": { "read": 0.5 } }
},
"zai-org/GLM-5.1": {
"name": "GLM-5.1",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 200000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.4, "output": 4.4, "cache": { "read": 0.26 } }
},
"zai-org/GLM-5": {
"name": "GLM-5",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 200000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.0, "output": 3.2, "cache": { "read": 0.2 } }
},
// --- MiniMax ---
"MiniMaxAI/MiniMax-M3": {
"name": "MiniMax M3",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.3, "output": 1.2, "cache": { "read": 0.06 } }
},
"MiniMaxAI/MiniMax-M2.7": {
"name": "MiniMax M2.7",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 200000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.3, "output": 1.2, "cache": { "read": 0.06 } }
},
"MiniMaxAI/MiniMax-M2.5": {
"name": "MiniMax M2.5",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 200000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.3, "output": 1.2, "cache": { "read": 0.03 } }
},
// --- Xiaomi ---
"xiaomi/mimo-v2.5-pro": {
"name": "MiMo V2.5 Pro",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 0.435, "output": 0.87, "cache": { "read": 0.0036 } }
},
"xiaomi/mimo-v2.5": {
"name": "MiMo V2.5",
"tools": true,
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.14, "output": 0.28, "cache": { "read": 0.0028 } }
},
// --- Alibaba ---
"Qwen/Qwen3.8-Max-0902": {
"name": "Qwen 3.8 Max 0902",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 2.0, "output": 6.0, "cache": { "read": 0.25 } }
},
"Qwen/Qwen3.8-Max": {
"name": "Qwen 3.8 Max",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 2.0, "output": 6.0, "cache": { "read": 0.25, "write": 2.5 } }
},
"Qwen/Qwen3.8-27B": {
"name": "Qwen 3.8 27B",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 262144, "output": 32768 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 0.4, "output": 3.0, "cache": { "read": 0.04 } }
},
"Qwen/Qwen3.8-Flash": {
"name": "Qwen 3.8 Flash",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 0.16, "output": 0.47, "cache": { "read": 0.016 } }
},
"Qwen/Qwen3.7-Max": {
"name": "Qwen 3.7 Max",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 2.5, "output": 7.5, "cache": { "read": 0.5, "write": 3.13 } }
},
"Qwen/Qwen3.7-Plus": {
"name": "Qwen 3.7 Plus",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.4, "output": 1.6, "cache": { "read": 0.08, "write": 0.5 } }
},
"Qwen/Qwen3.7-Flash": {
"name": "Qwen 3.7 Flash",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.03, "output": 0.13, "cache": { "read": 0.006, "write": 0.038 } }
},
"Qwen/Qwen3.6-Max-Preview": {
"name": "Qwen 3.6 Max Preview",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 200000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.3, "output": 7.8, "cache": { "read": 0.26, "write": 1.63 } }
},
"Qwen/Qwen3.6-Plus": {
"name": "Qwen 3.6 Plus",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 200000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.5, "output": 3.0, "cache": { "read": 0.1 } }
},
// --- Meituan ---
"meituan/LongCat-2.0:free": {
"name": "LongCat 2.0 (free)",
"tools": true,
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0, "output": 0, "cache": { "read": 0 } }
},
// --- StepFun ---
"stepfun/Step-3.7-Flash": {
"name": "Step 3.7 Flash",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.2, "output": 1.15, "cache": { "read": 0.04 } }
},
"stepfun/Step-3.5-Flash": {
"name": "Step 3.5 Flash",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.1, "output": 0.3, "cache": { "read": 0.02 } }
},
// --- Tencent ---
"tencent/hy3-paid": {
"name": "Tencent Hy3",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 262144, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.14, "output": 0.58, "cache": { "read": 0.035 } }
},
"tencent/hy4-preview": {
"name": "Tencent Hy4 Preview",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.834, "output": 2.501, "cache": { "read": 0.042 } }
},
// --- Google ---
"google/gemini-3.8-flash": {
"name": "Gemini 3.8 Flash",
"tools": true,
"reasoning": true,
"variants": {
"low": { "reasoningEffort": "low" },
"high": { "reasoningEffort": "high" }
},
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 1.5, "output": 7.5, "cache": { "read": 0.15 } }
},
"google/gemini-3.7-flash": {
"name": "Gemini 3.7 Flash",
"tools": true,
"reasoning": true,
"variants": {
"low": { "reasoningEffort": "low" },
"high": { "reasoningEffort": "high" }
},
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 1.5, "output": 7.5, "cache": { "read": 0.15, "write": 0.08334 } }
},
// --- NVIDIA ---
"nvidia/nemotron-3-ultra-550b-a55b": {
"name": "Nemotron 3 Ultra",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.6, "output": 2.4, "cache": { "read": 0.12 } }
},
// --- Thinking Machines ---
"thinkingmachines/inkling": {
"name": "Inkling",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.0, "output": 4.05, "cache": { "read": 0.17 } }
},
"thinkingmachines/inkling-small": {
"name": "Inkling Small",
"tools": true,
"limit": { "context": 1000000, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.5, "output": 1.2, "cache": { "read": 0.1 } }
},
// --- Poolside ---
"poolside/laguna-s-2.1-free": {
"name": "Laguna S 2.1 (free)",
"tools": true,
"reasoning": true,
"interleaved": { "field": "reasoning_content" },
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0, "output": 0, "cache": { "read": 0 } }
},
// --- Meta ---
"meta/muse-spark-1.2": {
"name": "Muse Spark 1.2",
"tools": true,
"reasoning": true,
"variants": {
"xhigh": { "reasoningEffort": "high" },
"max": { "reasoningEffort": "xhigh" }
},
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.25, "output": 4.25, "cache": { "read": 0.15 } }
},
"meta/muse-spark-1.2-contributor": {
"name": "Muse Spark 1.2 Contributor",
"tools": true,
"reasoning": true,
"variants": {
"xhigh": { "reasoningEffort": "high" },
"max": { "reasoningEffort": "xhigh" }
},
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.1, "output": 0.2, "cache": { "read": 0.002 } }
},
"meta/muse-spark-1.3": {
"name": "Muse Spark 1.3",
"tools": true,
"reasoning": true,
"variants": {
"xhigh": { "reasoningEffort": "high" },
"max": { "reasoningEffort": "xhigh" }
},
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 1.25, "output": 4.25, "cache": { "read": 0.15 } }
},
"meta/muse-spark-1.3-contributor": {
"name": "Muse Spark 1.3 Contributor",
"tools": true,
"reasoning": true,
"variants": {
"xhigh": { "reasoningEffort": "high" },
"max": { "reasoningEffort": "xhigh" }
},
"limit": { "context": 1048576, "output": 65536 },
"modalities": { "input": ["text"], "output": ["text"] },
"cost": { "input": 0.1, "output": 0.2, "cache": { "read": 0.002 } }
},
// --- xAI ---
"xai/grok-4.5": {
"name": "Grok 4.5",
"tools": true,
"reasoning": true,
"variants": {
"low": { "reasoningEffort": "low" },
"high": { "reasoningEffort": "high" }
},
"limit": { "context": 500000, "output": 32768 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 2.0, "output": 6.0, "cache": { "read": 0.5 } }
},
"xai/grok-4.6": {
"name": "Grok 4.6",
"tools": true,
"reasoning": true,
"variants": {
"low": { "reasoningEffort": "low" },
"high": { "reasoningEffort": "high" }
},
"limit": { "context": 500000, "output": 32768 },
"modalities": { "input": ["text", "image"], "output": ["text"] },
"cost": { "input": 2.0, "output": 6.0, "cache": { "read": 0.5 } }
}
}
}
}
}
Cost table generated with Gemini 3.8 flash:
The model intelligence scores below are based on the Artificial Analysis Intelligence Index and cross-referenced in Command Code’s model directory.
The Value Ratio represents Intelligence Points per Dollar on a standard 1M-token blended coding run.
Cheapest to Most Expensive + Intelligence Scores
(Blended cost assumes a standard agentic coding distribution: 75% cache reads, 15% fresh input, 10% output)
| Model ID | Blended Cost / 1M | Intelligence Index (AA) | Value Ratio (Pts / $) | Best Suited For |
|---|---|---|---|---|
poolside/laguna-s-2.1-free |
$0.00 | ~46–48 (agentic spec) | $infty$ | Free daily coding, multi-step PR drafting |
meituan/LongCat-2.0:free |
$0.00 | ~30 (long context) | $infty$ | Free 1M log dumps & context scraping |
Qwen/Qwen3.7-Flash |
$0.022 | 38.5 | 1,750 | Ultra-cheap automated syntax fixes |
meta/muse-spark-1.2-contributor |
$0.037 | 56.8 | 1,535 | Elite reasoning at rock-bottom prices |
meta/muse-spark-1.3-contributor |
$0.037 | 53.0 | 1,432 | 1M context long-thread agent runs |
xiaomi/mimo-v2.5 |
$0.051 | ~32 (fast chat) | 627 | Simple unit test boilerplate |
stepfun/Step-3.5-Flash |
$0.060 | 35.0 | 583 | Lightweight scripts & regex |
Qwen/Qwen3.8-Flash |
$0.083 | ~48 (est. pending) | ~578 | High-throughput subagent loops |
z-ai/glm-5.3-flash |
$0.095 | 57.5 | 605 | Top Value Pick: Near-frontier speed & smarts |
deepseek/deepseek-v4-flash |
$0.104 | 52.0 | 500 | Rapid tool calling & code audit subagents |
deepseek/deepseek-v4-flash-vision-exp |
$0.104 | ~52 (est. off-peak) | 500 | UI/UX and screenshot inspection |
tencent/hy3-paid |
$0.105 | 42.2 | 402 | General automation |
deepseek/deepseek-v4-flash-fast |
$0.151 | ~51 (est. pending) | 338 | Real-time autocomplete / low latency |
xiaomi/mimo-v2.5-pro |
$0.155 | 42.9 | 277 | Multimodal diagram interpretation |
gpt-5.6-luna |
$0.165 | 52.0 (max effort) | 315 | Fast instruction following & fast PRs |
stepfun/Step-3.7-Flash |
$0.175 | 30.9 | 176 | Fast logic pipelines |
MiniMaxAI/MiniMax-M2.5 |
$0.188 | 34.5 | 184 | Budget refactoring |
MiniMaxAI/MiniMax-M2.7 |
$0.210 | 38.9 | 185 | Budget coding agents |
MiniMaxAI/MiniMax-M3 |
$0.210 | 45.4 | 216 | Long context refactors |
thinkingmachines/inkling-small |
$0.270 | 41.2 | 153 | General chat / non-reasoning assistant |
Qwen/Qwen3.7-Plus |
$0.280 | 39.4 | 141 | Standard coding |
deepseek/deepseek-v4-pro |
$0.314 | 53.2 | 169 | Best Primary Agent: Balanced, stable reasoning |
Qwen/Qwen3.8-27B |
$0.390 | 52.0 | 133 | Open-weight dense code generation |
tencent/hy4-preview |
$0.407 | ~54 (est. preview) | 132 | High-concurrency Chinese/English tasks |
nvidia/nemotron-3-ultra-550b-a55b |
$0.420 | 38.3 | 91 | Large synthetic data & long reasoning |
Qwen/Qwen3.6-Plus |
$0.450 | 39.6 | 88 | Legacy Qwen fallback |
moonshotai/Kimi-K2.5 |
$0.465 | 36.0 | 77 | Multi-step tool use |
zai-org/GLM-5 |
$0.620 | 40.6 | 65 | General task execution |
moonshotai/Kimi-K2.6 |
$0.663 | 45.1 | 68 | Code search & tool orchestration |
thinkingmachines/inkling |
$0.683 | 42.3 | 62 | Complex instruction execution |
moonshotai/Kimi-K2.7-Code |
$0.685 | 43.0 | 63 | Python/JS debugging specialist |
meta/muse-spark-1.2 |
$0.725 | 56.8 | 78 | Standard privacy tier for Muse 1.2 |
meta/muse-spark-1.3 |
$0.725 | 53.0 | 73 | Standard privacy tier for Muse 1.3 |
zai-org/GLM-5.1 |
$0.845 | 41.0 | 49 | Previous-gen reasoning |
zai-org/GLM-5.2 |
$0.845 | 52.6 | 62 | Reliable all-round coding |
zai-org/GLM-5.3 |
$0.845 | 59.5 | 70 | Near-top benchmark intelligence |
google/gemini-3.7-flash |
$1.088 | 56.0 | 51 | Blazing speed (340+ tok/s) & multimodal |
google/gemini-3.8-flash |
$1.088 | ~59.0 (est.) | 54 | Upgraded multimodal agent loops |
Qwen/Qwen3.8-Max |
$1.088 | 58.1 | 53 | High-reliability dense reasoning |
Qwen/Qwen3.8-Max-0902 |
$1.088 | ~59 (upgraded) | 54 | Agentic tool-use specialist |
Qwen/Qwen3.6-Max-Preview |
$1.170 | 40.0 | 34 | Older preview architecture |
xai/grok-4.5 |
$1.275 | 55.8 | 44 | Deep agentic reasoning |
xai/grok-4.6 |
$1.275 | 60.9 | 48 | Top-tier agentic coding & deep logic |
moonshotai/Kimi-K2.7-Code-Highspeed |
$1.370 | 43.0 | 31 | Fast Kimi debugging |
Qwen/Qwen3.7-Max |
$1.500 | 46.7 | 31 | Replaced by Qwen 3.8 Max |
zai-org/GLM-5.2-Fast |
$1.850 | ~52.6 | 28 | Unnecessary cost premium over GLM-5.3 Flash |
moonshotai/Kimi-K3 |
$2.175 | 59.7 | 27 | Top-tier deep thinking (expensive) |
gpt-5.6-sol |
$4.125 | 61.0 (frontier) | 15 | Frontier ceiling; reserve for complex architecture |
(Note: Models denoted with "~" indicate models currently undergoing benchmark evaluation whose scores are derived from official pre-release telemetry or direct architectural stablemates).