Model comparison
GPT-3.5-turbo vs Mistral Small 3
Mistral Small 3 is the stronger model overall, scoring 31.2 to 23.2 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Mistral Small 3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3 leads 25.1 to 10.0.
- The biggest single-benchmark swing is GPQA Diamond: 28% for GPT-3.5-turbo and 47.3% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
- Mistral Small 3 accepts more context: 33K tokens versus 16K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Mistral Small 3 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 23.2 | 31.2 |
| Released | 2023-03-01 | 2025-01-30 |
| Weights | Proprietary | Open |
| Context window | 16K | 33K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.50 | $0.05 |
| Output $ / M tokens | $1.50 | $0.08 |
| Results tracked | 44 | 24 |
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Category by category
Coding Mistral Small 3 leads
GPT-3.5-turbo: 23.9 (#331), Mistral Small 3: 36.5 (#207)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| BigCodeBench Instruct | 39.1% | 45.3% |
| LMArena Coding | 1136 | 1246 |
| BigCodeBench Complete | 50.6% | 50.4% |
| WeirdML | 3.5% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Mistral Small 3: —
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Mistral Small 3 leads
GPT-3.5-turbo: 13.8 (#332), Mistral Small 3: 18.9 (#273)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1108 | 1233 |
| Epoch Capabilities Index | 118.55 | 127.07 |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Mistral Small 3 leads
GPT-3.5-turbo: 6.3 (#327), Mistral Small 3: 16.3 (#295)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.2% | 6.7% |
| LMArena Math | 1142 | 1240 |
| FrontierMath (Tiers 1-3) | 0% | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Mistral Small 3 leads
GPT-3.5-turbo: 10.0 (#303), Mistral Small 3: 25.1 (#263)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 28% | 47.3% |
| LMArena Expert | 1070 | 1202 |
| Confabulations | — | 25.2% |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Mistral Small 3 leads
GPT-3.5-turbo: 31.5 (#258), Mistral Small 3: 37.3 (#236)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1108 | 1198 |
| LMArena Chinese | 1075 | 1204 |
| LMArena French | 1118 | 1203 |
| LMArena German | 1090 | 1211 |
| LMArena Japanese | 1043 | 1111 |
| LMArena Korean | 1019 | 1188 |
| LMArena Russian | 1123 | 1216 |
| LMArena Spanish | 1121 | — |
Instruction Following Mistral Small 3 leads
GPT-3.5-turbo: 57.9 (#262), Mistral Small 3: 63.7 (#229)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1119 | 1214 |
Long Context Mistral Small 3 leads
GPT-3.5-turbo: 34.0 (#254), Mistral Small 3: 37.8 (#211)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1121 | 1246 |
Writing & Preference Mistral Small 3 leads
GPT-3.5-turbo: 25.3 (#305), Mistral Small 3: 32.2 (#280)
| Benchmark | GPT-3.5-turbo | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1125 | 1234 |
| LMArena Creative Writing | 1092 | 1195 |
| EQ-Bench Creative Writing | 451 | 707 |
| LMArena Multi-Turn | 1117 | 1217 |
Frequently asked questions
Is GPT-3.5-turbo better than Mistral Small 3?
Mistral Small 3 is the stronger model overall, scoring 31.2 to 23.2 on the Noometry Index.
Which is cheaper, GPT-3.5-turbo or Mistral Small 3?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.
Is GPT-3.5-turbo or Mistral Small 3 better for coding?
Mistral Small 3 scores higher on coding benchmarks: 36.5 versus 23.9 in the Noometry coding category.
Which has the bigger context window?
Mistral Small 3 does, with 33K tokens against 16K.
How many benchmarks do GPT-3.5-turbo and Mistral Small 3 share?
23 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mistral Small 3 has 24.