Model comparison
Mercury 2.5 vs Qwen3-4B
Qwen3-4B has enough public results to be ranked (#261); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Qwen3-4B leads 28.5 to 22.4.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Qwen3-4B | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 30.2 | 31.5 |
| Released | 2026-09-08 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 260K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 2 | 6 |
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Category by category
Coding Not comparable
Mercury 2.5: —, Qwen3-4B: —
| Benchmark | Mercury 2.5 | Qwen3-4B |
|---|---|---|
| ALE-Bench | 301.65 | — |
Agentic & Tool Use Not comparable
Mercury 2.5: —, Qwen3-4B: 27.3 (#94)
| Benchmark | Mercury 2.5 | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning Not comparable
Mercury 2.5: —, Qwen3-4B: 18.5 (#264)
| Benchmark | Mercury 2.5 | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
Math Qwen3-4B leads
Mercury 2.5: 22.4, Qwen3-4B: 28.5 (#228)
| Benchmark | Mercury 2.5 | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| ProofBench | 3% | — |
Knowledge Not comparable
Mercury 2.5: —, Qwen3-4B: 33.0 (#198)
| Benchmark | Mercury 2.5 | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
Frequently asked questions
Is Mercury 2.5 better than Qwen3-4B?
Qwen3-4B has enough public results to be ranked (#261); Mercury 2.5 does not yet, so treat this comparison as directional.
How many benchmarks do Mercury 2.5 and Qwen3-4B share?
0 benchmarks have published results for both models. Mercury 2.5 has 2 scored results on Noometry and Qwen3-4B has 6.