Model comparison
GPT-5.5 Pro vs Mistral Medium 3.5
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 23× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5.5 Pro scores higher in 3 categories and Mistral Medium 3.5 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 17.3.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Mistral Medium 3.5 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 64.3 | 40.2 |
| Released | 2026-04-23 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $30 | $1.50 |
| Output $ / M tokens | $180 | $7.50 |
| Results tracked | 14 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
GPT-5.5 Pro: —, Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1264 |
| LMArena Coding | — | 1461 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| Epoch Capabilities Index | 162.07 | 141.35 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1436 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1431 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1432 |
Multimodal Not comparable
GPT-5.5 Pro: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Not comparable
GPT-5.5 Pro: —, Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1442 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1409 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1415 |
Long Context Not comparable
GPT-5.5 Pro: —, Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1415 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GPT-5.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1374 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |
Frequently asked questions
Is GPT-5.5 Pro better than Mistral Medium 3.5?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 23× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.5 Pro and Mistral Medium 3.5 share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral Medium 3.5 has 22.