Model comparison
DeepSeek-V3.2-Speciale vs Qwen3 8B
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 33.3 on the Noometry Index. Qwen3 8B costs 2.8× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 16.1.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Qwen3 8B accepts more context: 131K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Qwen3 8B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.1 | 33.3 |
| Released | 2025-12-01 | 2025-04 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.58 | $0.18 |
| Output $ / M tokens | $1.68 | $0.70 |
| Results tracked | 3 | 11 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 39.9 (#136), Qwen3 8B: 33.4 (#245)
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3 8B: 29.9 (#71)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), Qwen3 8B: 16.1 (#299)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 8B |
|---|---|---|
| SimpleBench | 52.6% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3 8B: 33.3 (#176)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3 8B: 36.1 (#164)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3 8B: 37.8 (#205)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.1 (#217), Qwen3 8B: —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 8B |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen3 8B?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 33.3 on the Noometry Index. Qwen3 8B costs 2.8× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Qwen3 8B better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 33.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3 8B does, with 131K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen3 8B share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen3 8B has 11.