Model comparison
Grok 4.20 Multi-Agent vs Mistral Large 3
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.2× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 9 categories and Mistral Large 3 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 15.2.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for Grok 4.20 Multi-Agent and 7.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Mistral Large 3 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 46.2 | 39.1 |
| Released | 2026-03-09 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 8K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $2.50 | $0.75 |
| Results tracked | 20 | 24 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Mistral Large 3: 34.4 (#237)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1457 | 1448 |
| LMArena WebDev | — | 1230 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Mistral Large 3: —
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Mistral Large 3: 15.2 (#319)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| NYT Connections (extended) | 89.6% | 7.5% |
| LMArena Hard Prompts | 1448 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| Thematic Generalization | — | 23% |
Math Too close to call
Grok 4.20 Multi-Agent: 39.4 (#104), Mistral Large 3: 38.7 (#129)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1442 | 1414 |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.4 (#119), Mistral Large 3: 36.0 (#177)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1445 | 1421 |
| Vectara Hallucination Rate | — | 14.5% |
Multimodal Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.5 (#48), Mistral Large 3: 38.2 (#66)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1259 | 1221 |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.4 (#43), Mistral Large 3: 52.5 (#84)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1440 | 1413 |
| LMArena Chinese | 1475 | 1447 |
| LMArena French | 1466 | 1455 |
| LMArena German | 1456 | 1437 |
| LMArena Japanese | 1405 | 1394 |
| LMArena Korean | 1416 | 1384 |
| LMArena Russian | 1457 | 1411 |
| LMArena Spanish | 1447 | 1440 |
Instruction Following Too close to call
Grok 4.20 Multi-Agent: 74.8 (#84), Mistral Large 3: 74.0 (#108)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1403 |
Long Context Too close to call
Grok 4.20 Multi-Agent: 43.7 (#88), Mistral Large 3: 43.1 (#105)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1431 | 1413 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Mistral Large 3: 60.0 (#101)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1450 | 1428 |
| LMArena Creative Writing | 1436 | 1386 |
| LMArena Multi-Turn | 1452 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Mistral Large 3?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.2× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Which is cheaper, Grok 4.20 Multi-Agent or Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Mistral Large 3 better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 262K.
How many benchmarks do Grok 4.20 Multi-Agent and Mistral Large 3 share?
19 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mistral Large 3 has 24.