Model comparison
GPT-5.5 Instant vs Mistral Small
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 33.4 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 9 categories and Mistral Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.5 Instant leads 48.9 to 31.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 5.8% for Mistral Small.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Mistral Small | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.7 | 33.4 |
| Released | 2026-05-05 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 27 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 44.3 (#74), Mistral Small: 34.0 (#247)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| SciCode | 48.6% | 26.5% |
| LMArena Coding | 1433 | 1362 |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
GPT-5.5 Instant: —, Mistral Small: 28.1 (#93)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Mistral Small: 19.8 (#250)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1426 | 1335 |
| Kagi LLM Benchmark | — | 37.8% |
| Chess Puzzles | 12% | — |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| Epoch Capabilities Index | 142.52 | — |
| LiveBench | — | 44% |
Math GPT-5.5 Instant leads
GPT-5.5 Instant: 26.5 (#259), Mistral Small: 16.4 (#293)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 5.8% |
| LMArena Math | 1420 | 1341 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Mistral Small: 31.0 (#222)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| GPQA Diamond | 82.5% | 47.5% |
| LMArena Expert | 1409 | 1291 |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal GPT-5.5 Instant leads
GPT-5.5 Instant: 40.0 (#52), Mistral Small: 33.5 (#96)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| LMArena Vision | 1250 | 1142 |
| LMArena Document | 1403 | — |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Mistral Small: 45.5 (#169)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| LMArena Non-English | 1417 | 1315 |
| LMArena Chinese | 1456 | 1340 |
| LMArena French | 1428 | 1337 |
| LMArena German | 1411 | 1340 |
| LMArena Japanese | 1408 | 1275 |
| LMArena Korean | 1392 | 1259 |
| LMArena Russian | 1431 | 1324 |
| LMArena Spanish | 1429 | 1346 |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Mistral Small: 66.4 (#209)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1406 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Mistral Small: 40.4 (#156)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1422 | 1327 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Mistral Small: 52.5 (#171)
| Benchmark | GPT-5.5 Instant | Mistral Small |
|---|---|---|
| LMArena Text | 1419 | 1338 |
| LMArena Creative Writing | 1419 | 1305 |
| LMArena Multi-Turn | 1433 | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is GPT-5.5 Instant better than Mistral Small?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 33.4 on the Noometry Index.
Is GPT-5.5 Instant or Mistral Small better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 34.0 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Mistral Small share?
22 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Mistral Small has 39.