Model comparison
Grok 4.20 Multi-Agent vs Mixtral 8x7B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 26.8 on the Noometry Index. Mixtral 8x7B costs 2.2× 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 . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Mixtral 8x7B 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 34.4.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 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 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Mixtral 8x7B | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 45.5 | 26.8 |
| Released | 2026-03-09 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 1M | 32K |
| Max output | 30K | 32K |
| Input $ / M tokens | $1.25 | $0.70 |
| Output $ / M tokens | $2.50 | $0.70 |
| Results tracked | 20 | 38 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Mixtral 8x7B: 32.2 (#265)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1458 | 1127 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Mixtral 8x7B: —
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Mixtral 8x7B: 17.4 (#283)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1115 |
| NYT Connections (extended) | 89.6% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.38 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Mixtral 8x7B: 17.2 (#284)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1441 | 1147 |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Mixtral 8x7B: 11.0 (#296)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1445 | 1088 |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Mixtral 8x7B: —
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Mixtral 8x7B: 29.8 (#261)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1440 | 1077 |
| LMArena Chinese | 1475 | 1055 |
| LMArena French | 1467 | 1165 |
| LMArena German | 1456 | 1114 |
| LMArena Japanese | 1405 | 931 |
| LMArena Korean | 1416 | 968 |
| LMArena Russian | 1457 | 1090 |
| LMArena Spanish | 1447 | 1110 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Mixtral 8x7B: 51.2 (#292)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1110 |
| IFEval | — | 57.5% |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Mixtral 8x7B: 33.4 (#255)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1430 | 1103 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Mixtral 8x7B: 34.4 (#265)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1450 | 1132 |
| LMArena Creative Writing | 1435 | 1109 |
| LMArena Multi-Turn | 1451 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Mixtral 8x7B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 26.8 on the Noometry Index. Mixtral 8x7B costs 2.2× 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 Mixtral 8x7B?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Mixtral 8x7B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 32K.
How many benchmarks do Grok 4.20 Multi-Agent and Mixtral 8x7B share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mixtral 8x7B has 38.