Model comparison
DeepSeek-V3.1-Terminus vs Qwen3 14B
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 35.5 on the Noometry Index.
Last verified . 5 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 3 categories and Qwen3 14B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 18.5.
- The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 64% for Qwen3 14B.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 131K.
Side by side
| DeepSeek-V3.1-Terminus | Qwen3 14B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 43.1 | 35.5 |
| Released | 2025-09-22 | 2025-04 |
| Weights | Open | Open |
| Context window | 164K | 131K |
| Max output | 147K | 8K |
| Input $ / M tokens | $0.27 | $0.35 |
| Output $ / M tokens | $1 | $1.40 |
| Results tracked | 16 | 12 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Qwen3 14B: 37.3 (#195)
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| SciCode | 40.6% | 31.6% |
| LMArena Coding | 1426 | — |
| ALE-Bench | 745.17 | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1-Terminus: —, Qwen3 14B: 29.6 (#83)
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Qwen3 14B: 18.5 (#280)
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 49.1% |
| CritPt | 1.7% | 0% |
| DTBench | 81.3% | 64% |
| LMCA | 28.6% | 18.2% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1426 | — |
| Epoch Capabilities Index | — | 138.23 |
Math Too close to call
DeepSeek-V3.1-Terminus: 38.5 (#137), Qwen3 14B: 38.6 (#133)
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1402 | — |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Qwen3 14B: 39.3 (#134)
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
Multilingual Not comparable
DeepSeek-V3.1-Terminus: 52.1 (#92), Qwen3 14B: —
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1407 | — |
| LMArena Russian | 1436 | — |
Instruction Following Not comparable
DeepSeek-V3.1-Terminus: 74.0 (#106), Qwen3 14B: —
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 43.4 (#97), Qwen3 14B: 38.1 (#204)
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1421 | — |
Writing & Preference Not comparable
DeepSeek-V3.1-Terminus: 61.0 (#92), Qwen3 14B: —
| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 14B |
|---|---|---|
| LMArena Text | 1419 | — |
| LMArena Creative Writing | 1403 | — |
| LMArena Multi-Turn | 1411 | — |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Qwen3 14B?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 35.5 on the Noometry Index.
Which is cheaper, DeepSeek-V3.1-Terminus or Qwen3 14B?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.
Is DeepSeek-V3.1-Terminus or Qwen3 14B better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
DeepSeek-V3.1-Terminus does, with 164K tokens against 131K.
How many benchmarks do DeepSeek-V3.1-Terminus and Qwen3 14B share?
5 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Qwen3 14B has 12.