# GPT-5.2 Codex vs Mixtral 8x22B

> GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 27.1 on the Noometry Index. Mixtral 8x22B costs 1.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-2-codex-vs-mixtral-8x22b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 24.2.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.6 | 27.1 |
| Rank | 111 | 333 |
| Context | 400K | 64K |
| Input $/M | $1.75 | $2 |
| Output $/M | $14 | $6 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2 Codex: 45.5 (#71)
- Mixtral 8x22B: 24.2 (#329)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| LMArena Coding | — | 1166 |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,300 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- GPT-5.2 Codex: 41.0 (#22)
- Mixtral 8x22B: 23.1 (#127)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| Terminal-Bench | 66.5% | — |
| Cybench | — | 7.5% |

## Reasoning

- GPT-5.2 Codex: —
- Mixtral 8x22B: 19.9 (#248)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | — | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |

## Math

- GPT-5.2 Codex: —
- Mixtral 8x22B: 22.9 (#275)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |

## Knowledge

- GPT-5.2 Codex: —
- Mixtral 8x22B: 15.1 (#293)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| LMArena Expert | — | 1113 |
| MMLU | — | 77.8% |

## Multilingual

- GPT-5.2 Codex: —
- Mixtral 8x22B: 32.8 (#255)

| Benchmark | GPT-5.2 Codex | 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

- GPT-5.2 Codex: —
- Mixtral 8x22B: 57.7 (#266)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| IFEval | — | 72.4% |
| LMArena Instruction Following | — | 1147 |

## Long Context

- GPT-5.2 Codex: —
- Mixtral 8x22B: 34.7 (#247)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | — | 1144 |

## Writing & Preference

- GPT-5.2 Codex: —
- Mixtral 8x22B: 36.9 (#262)

| Benchmark | GPT-5.2 Codex | Mixtral 8x22B |
|---|---|---|
| LMArena Text | — | 1162 |
| LMArena Creative Writing | — | 1141 |
| WildBench | — | 71.1% |
| LMArena Multi-Turn | — | 1130 |

## FAQ

### Is GPT-5.2 Codex better than Mixtral 8x22B?

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 27.1 on the Noometry Index. Mixtral 8x22B costs 1.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.2 Codex or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is GPT-5.2 Codex or Mixtral 8x22B better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 24.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 64K.

### How many benchmarks do GPT-5.2 Codex and Mixtral 8x22B share?

0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Mixtral 8x22B has 34.