Model comparison
GPT-5.3 Chat vs Mistral 7B
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 23.0 on the Noometry Index. Mistral 7B costs 19× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 30.7.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GPT-5.3 Chat accepts more context: 128K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Mistral 7B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.8 | 23.0 |
| Released | 2026-03-03 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 128K | 8K |
| Max output | 16K | 8K |
| Input $ / M tokens | $1.75 | $0.25 |
| Output $ / M tokens | $14 | $0.25 |
| Results tracked | 18 | 37 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Mistral 7B: 26.4 (#326)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Coding | 1408 | 1082 |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Mistral 7B: 13.1 (#336)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1067 |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 112.21 |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Mistral 7B: 8.1 (#325)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Math | 1389 | 1085 |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Mistral 7B: 7.4 (#311)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Expert | 1397 | 1036 |
| GPQA Diamond | — | 15.2% |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Mistral 7B: 25.8 (#283)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1382 | 1012 |
| LMArena Chinese | 1432 | 1009 |
| LMArena French | 1397 | 1037 |
| LMArena German | 1384 | 987 |
| LMArena Japanese | 1352 | 878 |
| LMArena Russian | 1400 | 1018 |
| LMArena Spanish | 1371 | 1026 |
| LMArena Korean | 1346 | — |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Mistral 7B: 54.2 (#280)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1060 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Mistral 7B: 32.2 (#271)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1396 | 1060 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Mistral 7B: 30.7 (#286)
| Benchmark | GPT-5.3 Chat | Mistral 7B |
|---|---|---|
| LMArena Text | 1389 | 1090 |
| LMArena Creative Writing | 1355 | 1068 |
| LMArena Multi-Turn | 1412 | 1062 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Mistral 7B?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 23.0 on the Noometry Index. Mistral 7B costs 19× 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 Mistral 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or Mistral 7B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Chat does, with 128K tokens against 8K.
How many benchmarks do GPT-5.3 Chat and Mistral 7B share?
16 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Mistral 7B has 37.