# Grok 4.20 Multi-Agent vs Mistral Small

> Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 33.1 on the Noometry Index. Mistral Small costs 6.0× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-20-multi-agent-vs-mistral-small
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 9 categories and Mistral Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 19.3.
- Mistral Small is cheaper at $0.15 / $0.60 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 256K.
- Mistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 45.5 | 33.1 |
| Rank | 62 | 238 |
| Context | 1M | 256K |
| Input $/M | $1.25 | $0.15 |
| Output $/M | $2.50 | $0.60 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.20 Multi-Agent: 42.4 (#91)
- Mistral Small: 33.5 (#242)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Coding | 1458 | 1363 |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |

## Agentic & Tool Use

- Grok 4.20 Multi-Agent: —
- Mistral Small: 27.9 (#87)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
| LMArena Search | 1204 | — |

## Reasoning

- Grok 4.20 Multi-Agent: 42.4 (#44)
- Mistral Small: 19.3 (#238)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1336 |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |

## Math

- Grok 4.20 Multi-Agent: 36.6 (#106)
- Mistral Small: 15.4 (#287)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Math | 1441 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |

## Knowledge

- Grok 4.20 Multi-Agent: 39.7 (#116)
- Mistral Small: 30.9 (#214)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Expert | 1445 | 1293 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |

## Multimodal

- Grok 4.20 Multi-Agent: 39.8 (#44)
- Mistral Small: 32.9 (#91)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Vision | 1259 | 1142 |

## Multilingual

- Grok 4.20 Multi-Agent: 54.6 (#40)
- Mistral Small: 45.7 (#164)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Non-English | 1440 | 1315 |
| LMArena Chinese | 1475 | 1342 |
| LMArena French | 1467 | 1337 |
| LMArena German | 1456 | 1341 |
| LMArena Japanese | 1405 | 1275 |
| LMArena Korean | 1416 | 1260 |
| LMArena Russian | 1457 | 1324 |
| LMArena Spanish | 1447 | 1346 |

## Instruction Following

- Grok 4.20 Multi-Agent: 75.0 (#80)
- Mistral Small: 66.6 (#204)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1420 | 1310 |
| LiveBench Instruction Following | — | 63.7% |

## Long Context

- Grok 4.20 Multi-Agent: 43.7 (#84)
- Mistral Small: 40.4 (#151)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1430 | 1327 |

## Writing & Preference

- Grok 4.20 Multi-Agent: 64.1 (#57)
- Mistral Small: 52.6 (#165)

| Benchmark | Grok 4.20 Multi-Agent | Mistral Small |
|---|---|---|
| LMArena Text | 1450 | 1338 |
| LMArena Creative Writing | 1435 | 1304 |
| LMArena Multi-Turn | 1451 | 1344 |
| LiveBench Language | — | 30.5% |

## FAQ

### Is Grok 4.20 Multi-Agent better than Mistral Small?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 33.1 on the Noometry Index. Mistral Small costs 6.0× 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?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 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 better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 33.5 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 256K.

### How many benchmarks do Grok 4.20 Multi-Agent and Mistral Small share?

18 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mistral Small has 39.