Model comparison
Grok 4.20 Multi-Agent vs Mistral 7B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 22.9 on the Noometry Index. Mistral 7B costs 6.3× 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 . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.1 to 30.9.
- Mistral 7B is cheaper at $0.25 / $0.25 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 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Mistral 7B | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 45.5 | 22.9 |
| Released | 2026-03-09 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 1M | 8K |
| Max output | 30K | 8K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $2.50 | $0.25 |
| Results tracked | 20 | 37 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Mistral 7B: 25.9 (#321)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Coding | 1458 | 1082 |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Mistral 7B: —
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Mistral 7B: 12.6 (#331)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1067 |
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 111.97 |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Mistral 7B: 7.6 (#319)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Math | 1441 | 1085 |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Mistral 7B: 7.3 (#306)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Expert | 1445 | 1036 |
| GPQA Diamond | — | 15.2% |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Mistral 7B: —
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Mistral 7B: 26.0 (#278)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1440 | 1012 |
| LMArena Chinese | 1475 | 1009 |
| LMArena French | 1467 | 1036 |
| LMArena German | 1456 | 987 |
| LMArena Japanese | 1405 | 878 |
| LMArena Russian | 1457 | 1018 |
| LMArena Spanish | 1447 | 1026 |
| LMArena Korean | 1416 | — |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Mistral 7B: 54.5 (#275)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1060 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Mistral 7B: 32.2 (#266)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1430 | 1060 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Mistral 7B: 30.9 (#281)
| Benchmark | Grok 4.20 Multi-Agent | Mistral 7B |
|---|---|---|
| LMArena Text | 1450 | 1090 |
| LMArena Creative Writing | 1435 | 1068 |
| LMArena Multi-Turn | 1451 | 1062 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Mistral 7B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 22.9 on the Noometry Index. Mistral 7B costs 6.3× 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 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Mistral 7B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 25.9 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 8K.
How many benchmarks do Grok 4.20 Multi-Agent and Mistral 7B share?
16 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mistral 7B has 37.