Model comparison
Granite 4.0 Micro vs Mistral Large
Mistral Large is the stronger model overall, scoring 31.9 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 74× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.
Last verified . 7 shared benchmarks.
Mistral AISummary
- They share 7 benchmarks with published results for both. Granite 4.0 Micro scores higher in 3 categories and Mistral Large in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.1 to 9.9.
- The biggest single-benchmark swing is GPQA Diamond: 28.3% for Granite 4.0 Micro and 51.3% for Mistral Large.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 131K.
Side by side
| Granite 4.0 Micro | Mistral Large | |
|---|---|---|
| Provider | IBM | Mistral AI |
| Noometry Index | 29.0 | 31.9 |
| Released | 2025-10-02 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 118K | 16K |
| Input $ / M tokens | $0.017 | $2 |
| Output $ / M tokens | $0.11 | $6 |
| Results tracked | 8 | 51 |
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Category by category
Coding Not comparable
Granite 4.0 Micro: —, Mistral Large: 34.3 (#240)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Granite 4.0 Micro: —, Mistral Large: 28.6 (#89)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Granite 4.0 Micro leads
Granite 4.0 Micro: 19.2 (#265), Mistral Large: 15.8 (#310)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Mistral Large leads
Granite 4.0 Micro: 12.0 (#307), Mistral Large: 18.2 (#291)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.8% | 8.5% |
| Omni-MATH | 20.9% | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Mistral Large leads
Granite 4.0 Micro: 9.9 (#304), Mistral Large: 30.1 (#230)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| GPQA Diamond | 28.3% | 51.3% |
| MMLU-Pro | 39.5% | 59.9% |
| GPQA (HELM) | 30.7% | 43.5% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Not comparable
Granite 4.0 Micro: —, Mistral Large: 40.0 (#219)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Granite 4.0 Micro leads
Granite 4.0 Micro: 69.9 (#169), Mistral Large: 67.9 (#191)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| IFEval | 84.9% | 87.7% |
| LiveBench Instruction Following | — | 67.9% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Granite 4.0 Micro: —, Mistral Large: 38.3 (#199)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Granite 4.0 Micro leads
Granite 4.0 Micro: 46.7 (#216), Mistral Large: 40.7 (#242)
| Benchmark | Granite 4.0 Micro | Mistral Large |
|---|---|---|
| WildBench | 67% | 80.1% |
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Granite 4.0 Micro better than Mistral Large?
Mistral Large is the stronger model overall, scoring 31.9 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 74× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.
Which is cheaper, Granite 4.0 Micro or Mistral Large?
Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Mistral Large lists at $2 and $6.
Which has the bigger context window?
Mistral Large does, with 131K tokens against 131K.
How many benchmarks do Granite 4.0 Micro and Mistral Large share?
7 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Mistral Large has 51.