Model comparison
Grok 4.20 Multi-Agent vs Qwen2.5 7B Instruct
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 5.1× 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 . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 14.3.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $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 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 28.6 |
| Released | 2026-03-09 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 30K | 8K |
| Input $ / M tokens | $1.25 | $0.17 |
| Output $ / M tokens | $2.50 | $0.70 |
| Results tracked | 20 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1458 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1448 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.44 |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1441 | — |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1445 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Qwen2.5 7B Instruct: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.6 (#40), Qwen2.5 7B Instruct: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1475 | — |
| LMArena French | 1467 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Russian | 1457 | — |
| LMArena Spanish | 1447 | — |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1420 | — |
Long Context Not comparable
Grok 4.20 Multi-Agent: 43.7 (#84), Qwen2.5 7B Instruct: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1430 | — |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Grok 4.20 Multi-Agent | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1435 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1451 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen2.5 7B Instruct?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 5.1× 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 Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 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 Qwen2.5 7B Instruct better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 131K.
How many benchmarks do Grok 4.20 Multi-Agent and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen2.5 7B Instruct has 15.