Model comparison
GPT-5.2 Pro vs Mixtral 8x22B
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 27.1 on the Noometry Index. Mixtral 8x22B costs 19× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and Mixtral 8x22B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 22.9.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Mixtral 8x22B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 52.3 | 27.1 |
| Released | 2025-12-11 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 400K | 64K |
| Max output | 128K | 64K |
| Input $ / M tokens | $21 | $2 |
| Output $ / M tokens | $168 | $6 |
| Results tracked | 8 | 34 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 24.2 (#329)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| LMArena Coding | — | 1166 |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Mixtral 8x22B: 19.9 (#248)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| Epoch Capabilities Index | 155.4 | 122.03 |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| LMArena Hard Prompts | — | 1150 |
| DTBench | — | 55.1% |
| ForecastBench | — | 56.3 |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Mixtral 8x22B: 22.9 (#275)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 15.1 (#293)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| LMArena Expert | — | 1113 |
| MMLU | — | 77.8% |
Multilingual Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 32.8 (#255)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | — | 1128 |
| LMArena Chinese | — | 1116 |
| LMArena French | — | 1166 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1057 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1151 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 57.7 (#266)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| IFEval | — | 72.4% |
| LMArena Instruction Following | — | 1147 |
Long Context Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 34.7 (#247)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | — | 1144 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Mixtral 8x22B: 36.9 (#262)
| Benchmark | GPT-5.2 Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Text | — | 1162 |
| LMArena Creative Writing | — | 1141 |
| WildBench | — | 71.1% |
| LMArena Multi-Turn | — | 1130 |
Frequently asked questions
Is GPT-5.2 Pro better than Mixtral 8x22B?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 27.1 on the Noometry Index. Mixtral 8x22B costs 19× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro or Mixtral 8x22B?
Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 64K.
How many benchmarks do GPT-5.2 Pro and Mixtral 8x22B share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mixtral 8x22B has 34.