DeepSeekOpen weights: deepseek-ai/DeepSeek-R1-Distill-Qwen-14BReasoning modelCompare with another modelDeepSeek-R1-Distill-Qwen-14B
DeepSeek-R1-Distill-Qwen-14B is a DeepSeek open-weights reasoning model, released 20 Jan 2025. Its best configuration ranks #638 of 785 on the BenchLeader Index at 41.2 ±10.1, in the lower half. The ± is the point: 437 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in maths (55) and lowest in instruction following (27). At $0.216 per million tokens blended it is cheaper than most ranked models. Last measured 20 Jan 2025.stale: no new result in six months
- Blended price
- $0.216/M
- $0.144 in · $0.431 out
- Output speed
- –
- First answer
- –
- Context
- 128k
- Full answer
- –
- Cost per run
- –
- Released
- 20 Jan 2025
- Overall index41
- Reasoning34
- Maths55
- Instruction following27
- Long context29
- Composite38
How its index has moved
9 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source |
|---|---|---|
| GPQA Diamond | 44.7%#238 | Epoch AI Benchmarking Hub |
| GPQA Diamond (AA)not in index | 48.4%#437 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 4.1%#536 | Artificial Analysis |
Maths
| Benchmark | not stated | Source |
|---|---|---|
| OTIS Mock AIME | 50.6%#185 | Epoch AI Benchmarking Hub |
| MATH Level 5 | 87.1%#26 | Epoch AI Benchmarking Hub |
Instruction following
| Benchmark | not stated | Source |
|---|---|---|
| IFBench | 22.1%#406 | Artificial Analysis |
Long context
| Benchmark | not stated | Source |
|---|---|---|
| AA-LCR | 10.3%#467 | Artificial Analysis |
Composite
| Benchmark | not stated | Source |
|---|---|---|
| AA Intelligence Index v4.3.2 | 7.8#453 | Artificial Analysis |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0002 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0020 | – | – |
| Code edit | 6,000 / 1,500 | $0.0015 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.010 | – | – |
| Structured extraction | 2,000 / 200 | $0.0004 | – | – |
More from DeepSeek
See also
Questions people ask
- What are DeepSeek-R1-Distill-Qwen-14B's benchmark scores?
- As of 25 Oct 2026, DeepSeek-R1-Distill-Qwen-14B scores 41.2 ±10.1 on the BenchLeader Index, strongest in maths (55) and weakest in instruction following (27). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
- How does DeepSeek-R1-Distill-Qwen-14B rank?
- DeepSeek-R1-Distill-Qwen-14B is #638 of 785 ranked configurations on 25 Oct 2026. 437 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does DeepSeek-R1-Distill-Qwen-14B cost per 1M tokens?
- As of 25 Oct 2026, DeepSeek-R1-Distill-Qwen-14B costs $0.144 per 1M input tokens and $0.431 per 1M output tokens, $0.216 blended (three input tokens per output token). The list price last changed on 10 Oct 2026.
- When was DeepSeek-R1-Distill-Qwen-14B released?
- DeepSeek released DeepSeek-R1-Distill-Qwen-14B on 20 Jan 2025.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “DeepSeek-R1-Distill-Qwen-14B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/deepseek-r1-distill-qwen-14b.