Model comparison
Grok 2 Mini 2024 08 13 vs Mixtral 8x22B
Grok 2 Mini 2024 08 13 is the stronger model overall, scoring 37.0 to 26.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok 2 Mini 2024 08 13 scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 2 Mini 2024 08 13 leads 33.4 to 15.1.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Grok 2 Mini 2024 08 13 | Mixtral 8x22B | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 37.0 | 26.7 |
| Released | 2024-08-13 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 64K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 17 | 34 |
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Category by category
Coding Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 36.4 (#194), Mixtral 8x22B: 23.8 (#324)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1269 | 1166 |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
Grok 2 Mini 2024 08 13: —, Mixtral 8x22B: 22.8 (#119)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 23.7 (#162), Mixtral 8x22B: 19.1 (#246)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1255 | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |
Math Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 32.8 (#185), Mixtral 8x22B: 21.2 (#271)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1265 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 33.4 (#195), Mixtral 8x22B: 15.1 (#288)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1238 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multilingual Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 41.6 (#203), Mixtral 8x22B: 32.9 (#250)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1257 | 1128 |
| LMArena Chinese | 1262 | 1116 |
| LMArena French | 1285 | 1165 |
| LMArena German | 1273 | 1141 |
| LMArena Japanese | 1213 | 1037 |
| LMArena Korean | 1195 | 1056 |
| LMArena Russian | 1261 | 1158 |
| LMArena Spanish | 1278 | 1150 |
Instruction Following Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 65.7 (#215), Mixtral 8x22B: 57.9 (#261)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1245 | 1147 |
| IFEval | — | 72.4% |
Long Context Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 38.4 (#191), Mixtral 8x22B: 34.6 (#242)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1267 | 1144 |
Writing & Preference Grok 2 Mini 2024 08 13 leads
Grok 2 Mini 2024 08 13: 47.5 (#207), Mixtral 8x22B: 37.1 (#257)
| Benchmark | Grok 2 Mini 2024 08 13 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1281 | 1162 |
| LMArena Creative Writing | 1242 | 1141 |
| LMArena Multi-Turn | 1265 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is Grok 2 Mini 2024 08 13 better than Mixtral 8x22B?
Grok 2 Mini 2024 08 13 is the stronger model overall, scoring 37.0 to 26.7 on the Noometry Index.
Is Grok 2 Mini 2024 08 13 or Mixtral 8x22B better for coding?
Grok 2 Mini 2024 08 13 scores higher on coding benchmarks: 36.4 versus 23.8 in the Noometry coding category.
How many benchmarks do Grok 2 Mini 2024 08 13 and Mixtral 8x22B share?
17 benchmarks have published results for both models. Grok 2 Mini 2024 08 13 has 17 scored results on Noometry and Mixtral 8x22B has 34.