Model comparison
Grok 4.20 (Non-Reasoning) vs Mistral Large 4
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 43.1 on the Noometry Index. Mistral Large 4 costs 1.5× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Mistral AISummary
- They share 15 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 6 categories and Mistral Large 4 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 85.4% for Grok 4.20 (Non-Reasoning) and 27.4% for Mistral Large 4.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
Side by side
| Grok 4.20 (Non-Reasoning) | Mistral Large 4 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 48.6 | 43.1 |
| Released | 2026-02-17 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 30K | 262K |
| Input $ / M tokens | $1.25 | $0.68 |
| Output $ / M tokens | $2.50 | $2.09 |
| Results tracked | 46 | 15 |
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Category by category
Coding Mistral Large 4 leads
Grok 4.20 (Non-Reasoning): 42.1 (#112), Mistral Large 4: 48.6 (#57)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1375 | 1541 |
| LMArena Coding | 1459 | 1475 |
| WeirdML | 52.3% | — |
| ALE-Bench | 1,150 | — |
Agentic & Tool Use Not comparable
Grok 4.20 (Non-Reasoning): 34.4 (#46), Mistral Large 4: —
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 57.3% | — |
| τ²-bench Banking | 18% | — |
| LMArena Search | 1189 | — |
| Vending-Bench 2 | 4,663 | — |
Reasoning Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.3 (#32), Mistral Large 4: 22.5 (#192)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 85.4% | 27.4% |
| LMArena Hard Prompts | 1451 | 1444 |
| ARC-AGI-2 | 65.1% | — |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | 89.5% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 63.8% | — |
| DTBench | 90.1% | — |
| LMCA | 38.7% | — |
| Epoch Capabilities Index | 151.98 | — |
| ForecastBench | 61.4 | — |
Math Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 48.2 (#65), Mistral Large 4: 40.4 (#91)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1455 | 1488 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| ProofBench | 14% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.8 (#60), Mistral Large 4: 36.6 (#166)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 30.2% | 20% |
| LMArena Expert | 1439 | 1447 |
| GPQA Diamond | 89.3% | — |
Multimodal Not comparable
Grok 4.20 (Non-Reasoning): 33.3 (#98), Mistral Large 4: —
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| 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), Mistral Large 4: 52.6 (#82)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1441 | 1415 |
| LMArena Chinese | 1481 | 1491 |
| LMArena Russian | 1458 | 1414 |
| LMArena French | 1476 | — |
| LMArena German | 1465 | — |
| LMArena Japanese | 1449 | — |
| LMArena Korean | 1417 | — |
| LMArena Spanish | 1443 | — |
Instruction Following Too close to call
Grok 4.20 (Non-Reasoning): 74.8 (#83), Mistral Large 4: 75.0 (#76)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1424 |
Long Context Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 45.5 (#34), Mistral Large 4: 43.6 (#89)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1437 | 1429 |
| 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), Mistral Large 4: 60.4 (#97)
| Benchmark | Grok 4.20 (Non-Reasoning) | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1451 | 1427 |
| LMArena Creative Writing | 1438 | 1361 |
| LMArena Multi-Turn | 1456 | 1424 |
| EQ-Bench Creative Writing | 1574 | — |
Frequently asked questions
Is Grok 4.20 (Non-Reasoning) better than Mistral Large 4?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 43.1 on the Noometry Index. Mistral Large 4 costs 1.5× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Which is cheaper, Grok 4.20 (Non-Reasoning) or Mistral Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.
Is Grok 4.20 (Non-Reasoning) or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 1M.
How many benchmarks do Grok 4.20 (Non-Reasoning) and Mistral Large 4 share?
15 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and Mistral Large 4 has 15.