Model comparison
Qwen2.5 32B Instruct vs Qwen3.5 Plus
Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 30.1 on the Noometry Index.
Last verified . 4 shared benchmarks.
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Qwen2.5 32B Instruct scores higher in 0 categories and Qwen3.5 Plus in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.5 Plus leads 49.6 to 16.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.4% for Qwen2.5 32B Instruct and 86.7% for Qwen3.5 Plus.
- Qwen3.5 Plus is cheaper at $0.40 / $2.40 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Qwen3.5 Plus accepts more context: 1M tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen2.5 32B Instruct | Qwen3.5 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 30.1 | 42.9 |
| Released | 2024-09 | 2026-02-16 |
| Weights | Open | Proprietary |
| Context window | 131K | 1M |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.70 | $0.40 |
| Output $ / M tokens | $2.80 | $2.40 |
| Results tracked | 7 | 15 |
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Category by category
Coding Not comparable
Qwen2.5 32B Instruct: 38.7 (#169), Qwen3.5 Plus: —
| Benchmark | Qwen2.5 32B Instruct | Qwen3.5 Plus |
|---|---|---|
| BigCodeBench Instruct | 45% | — |
| BigCodeBench Complete | 52.3% | — |
| ALE-Bench | — | 621.92 |
Agentic & Tool Use Not comparable
Qwen2.5 32B Instruct: —, Qwen3.5 Plus: —
| Benchmark | Qwen2.5 32B Instruct | Qwen3.5 Plus |
|---|---|---|
| Vending-Bench 2 | — | 0.54 |
Reasoning Qwen3.5 Plus leads
Qwen2.5 32B Instruct: 19.2 (#266), Qwen3.5 Plus: 32.8 (#74)
| Benchmark | Qwen2.5 32B Instruct | Qwen3.5 Plus |
|---|---|---|
| Chess Puzzles | 0% | 22% |
| Epoch Capabilities Index | 128.52 | 146.78 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 80.5% |
| LMCA | — | 36.4% |
Math Qwen3.5 Plus leads
Qwen2.5 32B Instruct: 16.2 (#296), Qwen3.5 Plus: 49.6 (#61)
| Benchmark | Qwen2.5 32B Instruct | Qwen3.5 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.4% | 86.7% |
| MATH Level 5 | 56.1% | — |
| FrontierMath (Feb 2025 set) | — | 21% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Qwen3.5 Plus leads
Qwen2.5 32B Instruct: 24.9 (#266), Qwen3.5 Plus: 46.0 (#83)
| Benchmark | Qwen2.5 32B Instruct | Qwen3.5 Plus |
|---|---|---|
| GPQA Diamond | 46.1% | 84.8% |
| SimpleQA Verified | — | 25.4% |
| Vectara Hallucination Rate | — | 10.7% |
Long Context Not comparable
Qwen2.5 32B Instruct: —, Qwen3.5 Plus: 43.0 (#113)
| Benchmark | Qwen2.5 32B Instruct | Qwen3.5 Plus |
|---|---|---|
| CL-bench | — | 19.8% |
| CL-bench Life | — | 12.4% |
Frequently asked questions
Is Qwen2.5 32B Instruct better than Qwen3.5 Plus?
Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 30.1 on the Noometry Index.
Which is cheaper, Qwen2.5 32B Instruct or Qwen3.5 Plus?
Qwen3.5 Plus is cheaper. It lists at $0.40 per million input tokens and $2.40 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Which has the bigger context window?
Qwen3.5 Plus does, with 1M tokens against 131K.
How many benchmarks do Qwen2.5 32B Instruct and Qwen3.5 Plus share?
4 benchmarks have published results for both models. Qwen2.5 32B Instruct has 7 scored results on Noometry and Qwen3.5 Plus has 15.