Model comparison
Grok 4.20 Multi-Agent vs Mistral Small 3.1
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 3.9× 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 . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.0 to 37.0.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 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 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Mistral Small 3.1 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 46.2 | 31.7 |
| Released | 2026-03-09 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 30K | 102K |
| Input $ / M tokens | $1.25 | $0.35 |
| Output $ / M tokens | $2.50 | $0.56 |
| Results tracked | 20 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1457 | 1309 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Mistral Small 3.1: —
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1278 |
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 127.48 |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.4 (#104), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1442 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.4 (#119), Mistral Small 3.1: 22.6 (#271)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1445 | 1257 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
Multimodal Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.5 (#48), Mistral Small 3.1: 33.2 (#99)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1259 | 1136 |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.4 (#43), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1440 | 1255 |
| LMArena Chinese | 1475 | 1253 |
| LMArena French | 1466 | 1273 |
| LMArena German | 1456 | 1266 |
| LMArena Japanese | 1405 | 1208 |
| LMArena Korean | 1416 | 1206 |
| LMArena Russian | 1457 | 1263 |
| LMArena Spanish | 1447 | 1283 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 74.8 (#84), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1420 | 1264 |
| IFEval | — | 75% |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#88), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1431 | 1299 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Grok 4.20 Multi-Agent | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1450 | 1277 |
| LMArena Creative Writing | 1436 | 1253 |
| LMArena Multi-Turn | 1452 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Mistral Small 3.1?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 3.9× 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 Small 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Mistral Small 3.1 better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 38.3 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 128K.
How many benchmarks do Grok 4.20 Multi-Agent and Mistral Small 3.1 share?
18 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mistral Small 3.1 has 28.