Model comparison
Grok 4.20 Multi-Agent vs Mixtral 8x22B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 26.7 on the Noometry Index.
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 8x22B 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 37.1.
- Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Mixtral 8x22B | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 45.5 | 26.7 |
| Released | 2026-03-09 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 1M | 64K |
| Max output | 30K | 64K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $2.50 | $6 |
| Results tracked | 20 | 34 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Mixtral 8x22B: 23.8 (#324)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1458 | 1166 |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Mixtral 8x22B: 22.8 (#119)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Mixtral 8x22B: 19.1 (#246)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1150 |
| NYT Connections (extended) | 89.6% | — |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Mixtral 8x22B: 21.2 (#271)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1441 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Mixtral 8x22B: 15.1 (#288)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1445 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Mixtral 8x22B: —
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Mixtral 8x22B: 32.9 (#250)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1440 | 1128 |
| LMArena Chinese | 1475 | 1116 |
| LMArena French | 1467 | 1165 |
| LMArena German | 1456 | 1141 |
| LMArena Japanese | 1405 | 1037 |
| LMArena Korean | 1416 | 1056 |
| LMArena Russian | 1457 | 1158 |
| LMArena Spanish | 1447 | 1150 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Mixtral 8x22B: 57.9 (#261)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1147 |
| IFEval | — | 72.4% |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Mixtral 8x22B: 34.6 (#242)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1430 | 1144 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Mixtral 8x22B: 37.1 (#257)
| Benchmark | Grok 4.20 Multi-Agent | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1450 | 1162 |
| LMArena Creative Writing | 1435 | 1141 |
| LMArena Multi-Turn | 1451 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Mixtral 8x22B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 26.7 on the Noometry Index.
Which is cheaper, Grok 4.20 Multi-Agent or Mixtral 8x22B?
Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is Grok 4.20 Multi-Agent or Mixtral 8x22B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 64K.
How many benchmarks do Grok 4.20 Multi-Agent and Mixtral 8x22B share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mixtral 8x22B has 34.