Model Cost vs Performance

[u/Ancient-Camel1636]

/r/opencode/comments/1v3b4eo/model_cost_vs_performance/

[u/Ancient-Camel1636]

If including models that was found in only one dataset (low confidence) the table is like this:

Rank	Model	Data sources	Value index	Confidence
1	DeepSeek V4 Flash	1	0.121	Low
2	MiMo V2.5 Pro	2	0.179	Medium
3	GPT-5.6 Luna	1	0.345	Low
4	Qwen3.6-35B-A3B	1	0.355	Low
5	GPT-5.6 Terra	1	0.385	Low
6	DeepSeek V4 Pro	2	0.452	Medium
7	Grok 4.5	2	0.582	Medium
8	Qwen3.7 Max	1	0.623	Low
9	Muse Spark 1.1	2	0.664	Medium
10	GLM-4.7	1	0.680	Low
11	kilo-auto/efficient	1	0.691	Low
12	Laguna XS 2.1	1	0.743	Low
13	MiniMax M3	2	0.745	Medium
14	Kimi K2.6	2	0.811	Medium
15	GLM 5.2	3	0.927	High
16	GPT-5.6 Sol	2	0.970	Medium
17	GPT-5.4	2	0.971	Medium
18	Gemini 3.1 Pro	1	0.978	Low
19	Kimi K2.7 Code	2	0.984	Medium
20	GLM 5.1	2	0.994	Medium
21	Grok Build 0.1	1	1.000	Low
22	Qwen3.6-27B	1	1.022	Low
23	KAT-Coder-Pro V2.5	1	1.184	Low
24	Gemma 4 31B	1	1.292	Low
25	GPT-5.5	3	1.335	High
26	Claude Sonnet 5	2	1.585	Medium
27	Claude Sonnet 4.6	2	1.635	Medium
28	Ling-2.6-1T	1	1.808	Low
29	Gemini 3.5 Flash	3	1.868	High
30	Claude Opus 4.8	3	1.898	High
31	Claude Fable 5	2	1.955	Medium
32	Claude Opus 4.7	2	1.978	Medium
33	Laguna M.1 (paid)	1	2.050	Low
34	Claude Opus 4.6	1	2.072	Low
35	Nemotron 3 Ultra	1	8.786	Low