DeepSeekOpen weights: deepseek-ai/DeepSeek-R1-Distill-Llama-70BReasoning modelCompare with another modelR1 Distill Llama 70B
R1 Distill Llama 70B is a DeepSeek open-weights reasoning model, released 20 Jan 2025. Its best configuration ranks #627 of 785 on the BenchLeader Index at 41.5 ±6.1, in the lower half. The ± is the point: 333 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 (56) and lowest in long context (29). At $0.800 per million tokens blended it is mid-priced. Last measured 20 Jan 2025.stale: no new result in six months
- Blended price
- $0.800/M
- $0.700 in · $1.10 out
- Output speed
- –
- First answer
- –
- Context
- 128k
- Full answer
- –
- Cost per run
- –
- Released
- 20 Jan 2025
- Overall index42
- Reasoning43
- Agents & tools35
- Maths56
- Knowledge41
- Instruction following32
- Long context29
- Composite38
How its index has moved
9 Sept 2026 to 23 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 | 55.7%#202 | Epoch AI Benchmarking Hub |
| GPQA Diamond (AA)not in index | 40.2%#478 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 5.1%#445 | Artificial Analysis |
| Kagi LLM Benchmark | 52.3%#73 | Kagi LLM Benchmark |
| CritPt | 0.0%#315 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source |
|---|---|---|
| Terminal-Bench Hard | 1.5%#338 | Artificial Analysis |
| τ²-Bench Telecom (AA)not in index | 21.9%#317 | Artificial Analysis |
Maths
| Benchmark | not stated | Source |
|---|---|---|
| OTIS Mock AIME | 51.4%#182 | Epoch AI Benchmarking Hub |
| MATH Level 5 | 89.9%#21 | Epoch AI Benchmarking Hub |
Knowledge
| Benchmark | not stated | Source |
|---|---|---|
| AA-Omniscience | -46.4#359 | Artificial Analysis |
| AA-Omniscience: accuracynot in index | 19.2%#315 | Artificial Analysis |
| AA-Omniscience: non-hallucinationnot in index | 18.9%#291 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source |
|---|---|---|
| IFBench | 27.6%#379 | Artificial Analysis |
Long context
| Benchmark | not stated | Source |
|---|---|---|
| AA-LCR | 10.0%#468 | Artificial Analysis |
Composite
| Benchmark | not stated | Source |
|---|---|---|
| AA Intelligence Index v4.3.2 | 7.9#451 | 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 | $0.0006 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0091 | – | – |
| Code edit | 6,000 / 1,500 | $0.0059 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.046 | – | – |
| Structured extraction | 2,000 / 200 | $0.0016 | – | – |
More from DeepSeek
See also
Questions people ask
- What are R1 Distill Llama 70B's benchmark scores?
- As of 25 Oct 2026, R1 Distill Llama 70B scores 41.5 ±6.1 on the BenchLeader Index, strongest in maths (56) and weakest in long context (29). That rests on 10 independent benchmark results, and every score on this page links to its publisher.
- How does R1 Distill Llama 70B rank?
- R1 Distill Llama 70B is #627 of 785 ranked configurations on 25 Oct 2026. 333 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 R1 Distill Llama 70B cost per 1M tokens?
- As of 25 Oct 2026, R1 Distill Llama 70B costs $0.700 per 1M input tokens and $1.10 per 1M output tokens, $0.800 blended (three input tokens per output token). The list price last changed on 6 Oct 2026.
- When was R1 Distill Llama 70B released?
- DeepSeek released R1 Distill Llama 70B on 20 Jan 2025.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “R1 Distill Llama 70B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/deepseek-r1-distill-llama-70b.