Model comparison
Mercury 2.5 vs Qwen3.5-9B
Qwen3.5-9B has enough public results to be ranked (#235); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3.5-9B leads 33.5 to 22.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.10 / $0.15 for Qwen3.5-9B.
- Qwen3.5-9B accepts more context: 262K tokens versus 260K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Qwen3.5-9B | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 30.2 | 33.3 |
| Released | 2026-09-08 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 260K | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.04 | $0.10 |
| Output $ / M tokens | $0.15 | $0.15 |
| Results tracked | 2 | 10 |
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Category by category
Coding Not comparable
Mercury 2.5: —, Qwen3.5-9B: 35.3 (#213)
Agentic & Tool Use Not comparable
Mercury 2.5: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Mercury 2.5 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Not comparable
Mercury 2.5: —, Qwen3.5-9B: 22.5 (#178)
| Benchmark | Mercury 2.5 | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |
Math Qwen3.5-9B leads
Mercury 2.5: 22.4, Qwen3.5-9B: 33.5 (#174)
| Benchmark | Mercury 2.5 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| ProofBench | 3% | — |
Knowledge Not comparable
Mercury 2.5: —, Qwen3.5-9B: 46.0 (#77)
| Benchmark | Mercury 2.5 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
Frequently asked questions
Is Mercury 2.5 better than Qwen3.5-9B?
Qwen3.5-9B has enough public results to be ranked (#235); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, Mercury 2.5 or Qwen3.5-9B?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Qwen3.5-9B lists at $0.10 and $0.15.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 260K.
How many benchmarks do Mercury 2.5 and Qwen3.5-9B share?
0 benchmarks have published results for both models. Mercury 2.5 has 2 scored results on Noometry and Qwen3.5-9B has 10.