Model comparison
Grok 4.20 Multi-Agent vs Pixtral Large
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Grok 4.20 Multi-Agent scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.0 to 32.9.
- Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Pixtral Large | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 46.2 | 32.2 |
| Released | 2026-03-09 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 30K | 128K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $2.50 | $6 |
| Results tracked | 20 | 3 |
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Category by category
Coding Not comparable
Grok 4.20 Multi-Agent: 43.0 (#92), Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Coding | 1457 | — |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Pixtral Large: 21.7 (#218)
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1448 | — |
Math Not comparable
Grok 4.20 Multi-Agent: 39.4 (#104), Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Math | 1442 | — |
Knowledge Not comparable
Grok 4.20 Multi-Agent: 40.4 (#119), Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Expert | 1445 | — |
Multimodal Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.5 (#48), Pixtral Large: 30.6 (#111)
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Vision | 1259 | 1089 |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.4 (#43), Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1475 | — |
| LMArena French | 1466 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Russian | 1457 | — |
| LMArena Spanish | 1447 | — |
Instruction Following Not comparable
Grok 4.20 Multi-Agent: 74.8 (#84), Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1420 | — |
Long Context Not comparable
Grok 4.20 Multi-Agent: 43.7 (#88), Pixtral Large: —
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1431 | — |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Pixtral Large: 32.9 (#278)
| Benchmark | Grok 4.20 Multi-Agent | Pixtral Large |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Pixtral Large?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 32.2 on the Noometry Index.
Which is cheaper, Grok 4.20 Multi-Agent or Pixtral Large?
Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Pixtral Large lists at $2 and $6.
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 Pixtral Large share?
1 benchmark has published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Pixtral Large has 3.