Model comparison
GPT-5.5 Instant vs Mistral Medium
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 36.3 on the Noometry Index.
Last verified . 22 shared benchmarks.
Mistral AISummary
- They share 22 benchmarks with published results for both. GPT-5.5 Instant scores higher in 8 categories and Mistral Medium in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.5 Instant leads 48.9 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 32.2% for Mistral Medium.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Mistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.7 | 36.3 |
| Released | 2026-05-05 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 27 | 36 |
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Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 44.3 (#74), Mistral Medium: 34.2 (#243)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| SciCode | 48.6% | 40.2% |
| LMArena Coding | 1433 | 1434 |
| FrontierCode | — | 8% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
GPT-5.5 Instant: —, Mistral Medium: 28.3 (#90)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Too close to call
GPT-5.5 Instant: 24.9 (#155), Mistral Medium: 24.0 (#167)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1426 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| Chess Puzzles | 12% | — |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 142.52 | — |
Math Mistral Medium leads
GPT-5.5 Instant: 26.5 (#259), Mistral Medium: 28.1 (#245)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 32.2% |
| LMArena Math | 1420 | 1408 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Mistral Medium: 25.0 (#265)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| GPQA Diamond | 82.5% | 59.5% |
| LMArena Expert | 1409 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal GPT-5.5 Instant leads
GPT-5.5 Instant: 40.0 (#52), Mistral Medium: 35.3 (#88)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| LMArena Vision | 1250 | 1172 |
| LMArena Document | 1403 | — |
Multilingual Too close to call
GPT-5.5 Instant: 52.8 (#80), Mistral Medium: 52.1 (#91)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1417 | 1408 |
| LMArena Chinese | 1456 | 1447 |
| LMArena French | 1428 | 1459 |
| LMArena German | 1411 | 1432 |
| LMArena Japanese | 1408 | 1378 |
| LMArena Korean | 1392 | 1380 |
| LMArena Russian | 1431 | 1411 |
| LMArena Spanish | 1429 | 1433 |
Instruction Following Too close to call
GPT-5.5 Instant: 74.2 (#100), Mistral Medium: 73.7 (#116)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1406 | 1398 |
Long Context Too close to call
GPT-5.5 Instant: 43.4 (#96), Mistral Medium: 42.9 (#114)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1422 | 1406 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Mistral Medium: 60.0 (#103)
| Benchmark | GPT-5.5 Instant | Mistral Medium |
|---|---|---|
| LMArena Text | 1419 | 1424 |
| LMArena Creative Writing | 1419 | 1391 |
| LMArena Multi-Turn | 1433 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is GPT-5.5 Instant better than Mistral Medium?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 36.3 on the Noometry Index.
Is GPT-5.5 Instant or Mistral Medium better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 34.2 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Mistral Medium share?
22 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Mistral Medium has 36.