Model comparison
GPT-5.3 Chat vs Pixtral Large
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 32.2 on the Noometry Index. Pixtral Large costs 1.6× less per token, which makes it the better buy when GPT-5.3 Chat'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-5.3 Chat scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 32.9.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.8 | 32.2 |
| Released | 2026-03-03 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 16K | 128K |
| Input $ / M tokens | $1.75 | $2 |
| Output $ / M tokens | $14 | $6 |
| Results tracked | 18 | 3 |
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Category by category
Coding Not comparable
GPT-5.3 Chat: 41.4 (#124), Pixtral Large: —
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Coding | 1408 | — |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Pixtral Large: 21.7 (#218)
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1399 | — |
Math Not comparable
GPT-5.3 Chat: 38.2 (#142), Pixtral Large: —
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Math | 1389 | — |
Knowledge Not comparable
GPT-5.3 Chat: 38.8 (#140), Pixtral Large: —
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Expert | 1397 | — |
Multimodal Not comparable
GPT-5.3 Chat: —, Pixtral Large: 30.6 (#111)
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
GPT-5.3 Chat: 50.3 (#124), Pixtral Large: —
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |
Instruction Following Not comparable
GPT-5.3 Chat: 72.8 (#129), Pixtral Large: —
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1378 | — |
Long Context Not comparable
GPT-5.3 Chat: 42.6 (#120), Pixtral Large: —
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1396 | — |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Pixtral Large: 32.9 (#278)
| Benchmark | GPT-5.3 Chat | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1690 | 988 |
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1355 | — |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Pixtral Large?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 32.2 on the Noometry Index. Pixtral Large costs 1.6× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Chat or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GPT-5.3 Chat and Pixtral Large share?
1 benchmark has published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Pixtral Large has 3.