Model comparison
GPT-5.2 Codex vs Pixtral Large
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 32.2 on the Noometry Index. Pixtral Large 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.
Last verified . 0 shared benchmarks.
Mistral AISummary
- Pixtral Large 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 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Codex | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.6 | 32.2 |
| Released | 2025-12-18 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.75 | $2 |
| Output $ / M tokens | $14 | $6 |
| Results tracked | 5 | 3 |
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Category by category
Coding Not comparable
GPT-5.2 Codex: 45.5 (#71), Pixtral Large: —
| Benchmark | GPT-5.2 Codex | Pixtral Large |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use Not comparable
GPT-5.2 Codex: 41.0 (#22), Pixtral Large: —
| Benchmark | GPT-5.2 Codex | Pixtral Large |
|---|---|---|
| Terminal-Bench | 66.5% | — |
Reasoning Not comparable
GPT-5.2 Codex: —, Pixtral Large: 21.7 (#218)
| Benchmark | GPT-5.2 Codex | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
Multimodal Not comparable
GPT-5.2 Codex: —, Pixtral Large: 30.6 (#111)
| Benchmark | GPT-5.2 Codex | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, Pixtral Large: 32.9 (#278)
| Benchmark | GPT-5.2 Codex | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |
Frequently asked questions
Is GPT-5.2 Codex better than Pixtral Large?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 32.2 on the Noometry Index. Pixtral Large 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 Pixtral Large?
Pixtral Large 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.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-5.2 Codex and Pixtral Large share?
0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Pixtral Large has 3.