Model comparison
Granite 4.2 8B vs Mistral Large
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 31.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
Mistral AISummary
- They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 7 categories and Mistral Large in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Granite 4.2 8B leads 26.6 to 15.8.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $2 / $6 for Mistral Large.
Side by side
| Granite 4.2 8B | Mistral Large | |
|---|---|---|
| Provider | IBM | Mistral AI |
| Noometry Index | 40.5 | 31.9 |
| Released | — | 2024-02-26 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 118K | 16K |
| Input $ / M tokens | $0.06 | $2 |
| Output $ / M tokens | $0.25 | $6 |
| Results tracked | 11 | 51 |
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Category by category
Coding Granite 4.2 8B leads
Granite 4.2 8B: 40.5 (#137), Mistral Large: 34.3 (#240)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Coding | 1380 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Granite 4.2 8B: —, Mistral Large: 28.6 (#89)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Granite 4.2 8B leads
Granite 4.2 8B: 26.6 (#131), Mistral Large: 15.8 (#310)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1257 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Not comparable
Granite 4.2 8B: —, Mistral Large: 18.2 (#291)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Granite 4.2 8B leads
Granite 4.2 8B: 38.4 (#145), Mistral Large: 30.1 (#230)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Expert | 1384 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multilingual Granite 4.2 8B leads
Granite 4.2 8B: 44.5 (#178), Mistral Large: 40.0 (#219)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Non-English | 1302 | 1237 |
| LMArena Chinese | 1366 | 1240 |
| LMArena Russian | 1285 | 1257 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Spanish | — | 1268 |
Instruction Following Too close to call
Granite 4.2 8B: 68.7 (#184), Mistral Large: 67.9 (#191)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1301 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Granite 4.2 8B leads
Granite 4.2 8B: 40.3 (#159), Mistral Large: 38.3 (#199)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1324 | 1261 |
Writing & Preference Granite 4.2 8B leads
Granite 4.2 8B: 49.6 (#189), Mistral Large: 40.7 (#242)
| Benchmark | Granite 4.2 8B | Mistral Large |
|---|---|---|
| LMArena Text | 1320 | 1266 |
| LMArena Creative Writing | 1236 | 1243 |
| LMArena Multi-Turn | 1301 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Granite 4.2 8B better than Mistral Large?
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 31.9 on the Noometry Index.
Which is cheaper, Granite 4.2 8B or Mistral Large?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; Mistral Large lists at $2 and $6.
Is Granite 4.2 8B or Mistral Large better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Granite 4.2 8B and Mistral Large share?
11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Mistral Large has 51.