Model comparison
GPT-5.1-Codex vs Mixtral 8x22B
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 26.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in coding, where GPT-5.1-Codex leads 41.7 to 23.8.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Mixtral 8x22B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 38.2 | 26.7 |
| Released | 2025-11-12 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 400K | 64K |
| Max output | 128K | 64K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 6 | 34 |
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Category by category
Coding GPT-5.1-Codex leads
GPT-5.1-Codex: 41.7 (#107), Mixtral 8x22B: 23.8 (#324)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| LMArena Coding | — | 1166 |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,245 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 37.8 (#32), Mixtral 8x22B: 22.8 (#119)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| Cybench | — | 7.5% |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Mixtral 8x22B: 19.1 (#246)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | — | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 29.3 (#218), Mixtral 8x22B: 21.2 (#271)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| ProofBench | 9% | — |
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |
Knowledge Not comparable
GPT-5.1-Codex: —, Mixtral 8x22B: 15.1 (#288)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| LMArena Expert | — | 1113 |
| MMLU | — | 77.8% |
Multilingual Not comparable
GPT-5.1-Codex: —, Mixtral 8x22B: 32.9 (#250)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | — | 1128 |
| LMArena Chinese | — | 1116 |
| LMArena French | — | 1165 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1056 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1150 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Mixtral 8x22B: 57.9 (#261)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| IFEval | — | 72.4% |
| LMArena Instruction Following | — | 1147 |
Long Context Not comparable
GPT-5.1-Codex: —, Mixtral 8x22B: 34.6 (#242)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | — | 1144 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Mixtral 8x22B: 37.1 (#257)
| Benchmark | GPT-5.1-Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Text | — | 1162 |
| LMArena Creative Writing | — | 1141 |
| WildBench | — | 71.1% |
| LMArena Multi-Turn | — | 1130 |
Frequently asked questions
Is GPT-5.1-Codex better than Mixtral 8x22B?
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 26.7 on the Noometry Index.
Which is cheaper, GPT-5.1-Codex or Mixtral 8x22B?
Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or Mixtral 8x22B better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.7 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 64K.
How many benchmarks do GPT-5.1-Codex and Mixtral 8x22B share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Mixtral 8x22B has 34.