Model comparison
Grok 4.20 (Non-Reasoning) vs Mixtral 8x22B
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 27.1 on the Noometry Index.
Last verified . 22 shared benchmarks.
Mistral AISummary
- They share 22 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.20 (Non-Reasoning) leads 52.8 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 89.3% for Grok 4.20 (Non-Reasoning) and 34.1% for Mixtral 8x22B.
- Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 (Non-Reasoning) | Mixtral 8x22B | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 48.6 | 27.1 |
| Released | 2026-02-17 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 1M | 64K |
| Max output | 30K | 64K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $2.50 | $6 |
| Results tracked | 46 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 42.1 (#112), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| WeirdML | 52.3% | 3.2% |
| LMArena Coding | 1459 | 1166 |
| LMArena WebDev | 1375 | — |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,150 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 34.4 (#46), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| Terminal-Bench | 57.3% | — |
| τ²-bench Banking | 18% | — |
| Cybench | — | 7.5% |
| LMArena Search | 1189 | — |
| Vending-Bench 2 | 4,663 | — |
Reasoning Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.3 (#32), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1451 | 1150 |
| DTBench | 90.1% | 55.1% |
| Epoch Capabilities Index | 151.98 | 122.03 |
| ForecastBench | 61.4 | 56.3 |
| ARC-AGI-2 | 65.1% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 85.4% | — |
| ARC-AGI-1 | 89.5% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 63.8% | — |
| LMCA | 38.7% | — |
Math Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 48.2 (#65), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1455 | 1184 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| ProofBench | 14% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.8 (#60), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 89.3% | 34.1% |
| LMArena Expert | 1439 | 1113 |
| SimpleQA Verified | 30.2% | — |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Grok 4.20 (Non-Reasoning): 33.3 (#98), Mixtral 8x22B: —
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1416 | — |
Multilingual Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 54.5 (#40), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1441 | 1128 |
| LMArena Chinese | 1481 | 1116 |
| LMArena French | 1476 | 1166 |
| LMArena German | 1465 | 1141 |
| LMArena Japanese | 1449 | 1037 |
| LMArena Korean | 1417 | 1057 |
| LMArena Russian | 1458 | 1158 |
| LMArena Spanish | 1443 | 1151 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 74.8 (#83), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1147 |
| IFEval | — | 72.4% |
Long Context Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 45.5 (#34), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1437 | 1144 |
| CL-bench | 22.2% | — |
| CL-bench Life | 11.9% | — |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 65.7 (#44), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1451 | 1162 |
| LMArena Creative Writing | 1438 | 1141 |
| LMArena Multi-Turn | 1456 | 1130 |
| EQ-Bench Creative Writing | 1574 | — |
| WildBench | — | 71.1% |
Frequently asked questions
Is Grok 4.20 (Non-Reasoning) better than Mixtral 8x22B?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 27.1 on the Noometry Index.
Which is cheaper, Grok 4.20 (Non-Reasoning) or Mixtral 8x22B?
Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is Grok 4.20 (Non-Reasoning) or Mixtral 8x22B better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 64K.
How many benchmarks do Grok 4.20 (Non-Reasoning) and Mixtral 8x22B share?
22 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and Mixtral 8x22B has 34.