Model comparison
Grok 4.1 Fast vs Mixtral 8x22B
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 27.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Grok 4.1 Fast scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 19.9.
- The biggest single-benchmark swing is DTBench: 87.7% for Grok 4.1 Fast and 55.1% for Mixtral 8x22B.
- Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Grok 4.1 Fast accepts more context: 128K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.1 Fast | Mixtral 8x22B | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 41.4 | 27.1 |
| Released | 2025-06-27 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 128K | 64K |
| Max output | 30K | 64K |
| Input $ / M tokens | $0.20 | $2 |
| Output $ / M tokens | $0.50 | $6 |
| Results tracked | 32 | 34 |
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Category by category
Coding Grok 4.1 Fast leads
Grok 4.1 Fast: 34.1 (#245), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1411 | 1166 |
| LMArena WebDev | 1242 | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 394.93 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Grok 4.1 Fast leads
Grok 4.1 Fast: 36.3 (#39), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 69.6% | — |
| τ²-bench Banking | 13.1% | — |
| Cybench | — | 7.5% |
| LMArena Search | 1171 | — |
| Vending-Bench 2 | 1,107 | — |
Reasoning Grok 4.1 Fast leads
Grok 4.1 Fast: 43.4 (#49), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1407 | 1150 |
| DTBench | 87.7% | 55.1% |
| ForecastBench | 61 | 56.3 |
| SimpleBench | 56% | — |
| NYT Connections (extended) | 87.4% | — |
| Epoch Capabilities Index | — | 122.03 |
Math Grok 4.1 Fast leads
Grok 4.1 Fast: 31.9 (#221), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1408 | 1184 |
| MathArena Final-Answer Competitions | 60.9% | — |
| ProofBench | 4% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Grok 4.1 Fast leads
Grok 4.1 Fast: 33.1 (#207), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1399 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| Vectara Hallucination Rate | 17.8% | — |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Grok 4.1 Fast: 37.0 (#76), Mixtral 8x22B: —
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1201 | — |
Multilingual Grok 4.1 Fast leads
Grok 4.1 Fast: 51.0 (#114), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1391 | 1128 |
| LMArena Chinese | 1441 | 1116 |
| LMArena French | 1415 | 1166 |
| LMArena German | 1404 | 1141 |
| LMArena Japanese | 1349 | 1037 |
| LMArena Korean | 1361 | 1057 |
| LMArena Russian | 1387 | 1158 |
| LMArena Spanish | 1413 | 1151 |
Instruction Following Grok 4.1 Fast leads
Grok 4.1 Fast: 72.7 (#133), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1147 |
| IFEval | — | 72.4% |
Long Context Grok 4.1 Fast leads
Grok 4.1 Fast: 42.4 (#126), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1390 | 1144 |
Writing & Preference Grok 4.1 Fast leads
Grok 4.1 Fast: 57.2 (#131), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Grok 4.1 Fast | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1408 | 1162 |
| LMArena Creative Writing | 1394 | 1141 |
| LMArena Multi-Turn | 1389 | 1130 |
| EQ-Bench Creative Writing | 1327 | — |
| WildBench | — | 71.1% |
Frequently asked questions
Is Grok 4.1 Fast better than Mixtral 8x22B?
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 27.1 on the Noometry Index.
Which is cheaper, Grok 4.1 Fast or Mixtral 8x22B?
Grok 4.1 Fast is cheaper. It lists at $0.20 per million input tokens and $0.50 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is Grok 4.1 Fast or Mixtral 8x22B better for coding?
Grok 4.1 Fast scores higher on coding benchmarks: 34.1 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Grok 4.1 Fast does, with 128K tokens against 64K.
How many benchmarks do Grok 4.1 Fast and Mixtral 8x22B share?
19 benchmarks have published results for both models. Grok 4.1 Fast has 32 scored results on Noometry and Mixtral 8x22B has 34.