Model comparison
Granite 4.2 8B vs Mixtral 8x7B
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 27.1 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 7 categories and Mixtral 8x7B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Granite 4.2 8B leads 38.4 to 11.0.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Granite 4.2 8B accepts more context: 131K tokens versus 32K.
Side by side
| Granite 4.2 8B | Mixtral 8x7B | |
|---|---|---|
| Provider | IBM | Mistral AI |
| Noometry Index | 40.5 | 27.1 |
| Released | — | 2023-12-11 |
| Weights | Open | Open |
| Context window | 131K | 32K |
| Max output | 118K | 32K |
| Input $ / M tokens | $0.06 | $0.70 |
| Output $ / M tokens | $0.25 | $0.70 |
| Results tracked | 11 | 38 |
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Category by category
Coding Granite 4.2 8B leads
Granite 4.2 8B: 40.5 (#137), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1380 | 1126 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Granite 4.2 8B leads
Granite 4.2 8B: 26.6 (#131), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1115 |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.47 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Not comparable
Granite 4.2 8B: —, Mixtral 8x7B: 18.8 (#289)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Granite 4.2 8B leads
Granite 4.2 8B: 38.4 (#145), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1384 | 1088 |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Granite 4.2 8B leads
Granite 4.2 8B: 44.5 (#178), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1302 | 1077 |
| LMArena Chinese | 1366 | 1055 |
| LMArena Russian | 1285 | 1090 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Spanish | — | 1111 |
Instruction Following Granite 4.2 8B leads
Granite 4.2 8B: 68.7 (#184), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1301 | 1109 |
| IFEval | — | 57.5% |
Long Context Granite 4.2 8B leads
Granite 4.2 8B: 40.3 (#159), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1324 | 1103 |
Writing & Preference Granite 4.2 8B leads
Granite 4.2 8B: 49.6 (#189), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Granite 4.2 8B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1320 | 1132 |
| LMArena Creative Writing | 1236 | 1109 |
| LMArena Multi-Turn | 1301 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Granite 4.2 8B better than Mixtral 8x7B?
Granite 4.2 8B is the stronger model overall, scoring 40.5 to 27.1 on the Noometry Index.
Which is cheaper, Granite 4.2 8B or Mixtral 8x7B?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Granite 4.2 8B or Mixtral 8x7B better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Granite 4.2 8B does, with 131K tokens against 32K.
How many benchmarks do Granite 4.2 8B and Mixtral 8x7B share?
11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Mixtral 8x7B has 38.