DeepSWE
No official DeepSWE mini-swe-agent row for this identity on the public board we fetched.
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Context window on the 2026-08-19 OpenRouter row: 8,192 tokens.
Max completion tokens on that row: 8,192.
Input / output on that row: $0.80 / $0.80 per 1M tokens.
Architecture fields: text->text · Llama3 · deepseek-r1.
Hugging Face id on that row: deepseek-ai/DeepSeek-R1-Distill-Llama-70B.
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1).
When you want the 2025-01-23 catalog SKU, not a later rename.
No official DeepSWE mini-swe-agent row for this identity on the public board we fetched.
We did not open a vals.ai card for this identity. Chip omitted.
Ranked view: Best coding models: the independent leaderboard puts this row and every other card that carries an independent coding score on one board, with the confidence intervals left visible.
Copied from AA or vals HTML we opened. 0.0% placeholder bars are omitted. Do not average these into the hero tiles, and do not invent CI, $/task, or steps for Artificial Analysis.
| Bench | Printed | Note | Source | URL | As of |
|---|---|---|---|---|---|
| SciCode | 31.3% | Printed on the AA Intelligence Evaluations grid for DeepSeek R1 Distill Llama 70B. Not a DeepSWE chip. | Artificial Analysis DeepSeek R1 Distill Llama 70B | source | 2026-08-19 |
| Humanity's Last Exam | 5.1% | Printed on the AA Intelligence Evaluations grid for DeepSeek R1 Distill Llama 70B. Not a DeepSWE chip. | Artificial Analysis DeepSeek R1 Distill Llama 70B | source | 2026-08-19 |
| GPQA Diamond | 40.2% | Printed on the AA Intelligence Evaluations grid for DeepSeek R1 Distill Llama 70B. Not a DeepSWE chip. | Artificial Analysis DeepSeek R1 Distill Llama 70B | source | 2026-08-19 |
| AA-Omniscience Accuracy | 19.2% | Printed on the AA Intelligence Evaluations grid for DeepSeek R1 Distill Llama 70B. Not a DeepSWE chip. | Artificial Analysis DeepSeek R1 Distill Llama 70B | source | 2026-08-19 |
| AA-LCR | 9.3% | Printed on the AA Intelligence Evaluations grid for DeepSeek R1 Distill Llama 70B. Not a DeepSWE chip. | Artificial Analysis DeepSeek R1 Distill Llama 70B | source | 2026-08-19 |
Plus is $25/mo with $25 weekly hosted usage. The Mac app stays free with your own keys. Get Plus is not Download for Mac.
Official weights id on the 2026-08-19 OpenRouter row: deepseek-ai/DeepSeek-R1-Distill-Llama-70B. Community GGUF is a quant, not a second Continuum card.
This is the model repo, not Download for Mac. Downloads and likes from the Hugging Face API on 2026-08-19.
usedStorage and the sum of .safetensors sizes can differ (LFS pointers, non-shard files, duplicate copies). Cited separately. Source: recursive tree API, 2026-08-19.
| Path | Bytes |
|---|---|
model-00001-of-000017.safetensors | 8,946,552,810 |
model-00002-of-000017.safetensors | 8,690,800,055 |
model-00003-of-000017.safetensors | 1,577,092,016 |
model-00004-of-000017.safetensors | 8,690,767,122 |
model-00005-of-000017.safetensors | 8,422,331,428 |
model-00006-of-000017.safetensors | 8,690,767,122 |
model-00007-of-000017.safetensors | 8,422,331,428 |
model-00008-of-000017.safetensors | 8,690,767,122 |
model-00009-of-000017.safetensors | 8,422,331,428 |
model-00010-of-000017.safetensors | 8,690,767,122 |
model-00011-of-000017.safetensors | 8,422,331,428 |
model-00012-of-000017.safetensors | 8,690,767,122 |
model-00013-of-000017.safetensors | 8,422,331,428 |
model-00014-of-000017.safetensors | 8,690,767,122 |
model-00015-of-000017.safetensors | 8,422,331,428 |
model-00016-of-000017.safetensors | 8,690,767,122 |
model-00017-of-000017.safetensors | 10,523,694,303 |
tokenizer.json | 9,084,480 |
figures/benchmark.jpg | 777,314 |
model.safetensors.index.json | 60,337 |
README.md | 15,994 |
tokenizer_config.json | 3,071 |
.gitattributes | 1,519 |
LICENSE | 1,064 |
config.json | 879 |
generation_config.json | 181 |
All 26 files the tree API returned are listed: every one of the 17 safetensor shards plus 9 other files. Files tab: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/tree/main.
OpenRouter slug deepseek/deepseek-r1-distill-llama-70b on the 2026-08-19 catalog.
First party: https://api-docs.deepseek.com/.
Not on the Continuum host list fetched 2026-08-19.
We list first-party and OpenRouter, plus Continuum only when the live public allowlist named the id. This is not a 15-host routing table.
OpenRouter 2026-08-19: $0.80 in / $0.80 out per 1M tokens. Context 8,192 in / 8,192 out.
No separate internal-reasoning price on that row.
| Claim | Source | As of |
|---|---|---|
| OpenRouter id deepseek/deepseek-r1-distill-llama-70b; context 8192; created 1737663169; $0.80 / $0.80 per 1M | OpenRouter /api/v1/models | 2026-08-19 |
| AA Intelligence Index 10; 5 printed Index benches | Artificial Analysis model page | 2026-08-19 |
| OpenRouter id deepseek/deepseek-r1-distill-llama-70b, context 8,192 | OpenRouter /api/v1/models | 2026-08-19 |
| HF downloads 122,091 | Hugging Face API deepseek-ai/DeepSeek-R1-Distill-Llama-70B | 2026-08-19 |
| HF safetensors.total: 70,553,706,496 stored tensors; HF API usedStorage 141,107,497,606 bytes; created 2025-01-20T09:13:33.000Z; HF tensors BF16 | Hugging Face API deepseek-ai/DeepSeek-R1-Distill-Llama-70B | 2026-08-19 |
| 17 safetensor shards; shard bytes 141,107,497,606; tree files 26 | Hugging Face tree API deepseek-ai/DeepSeek-R1-Distill-Llama-70B | 2026-08-19 |
No other card in this cluster shares a published DeepSWE official row we can put next to this one. We will not compare on vendor-blog numbers.
Continue through DeepSeek's model family with DeepSeek V3.
Lab posts pick a harness, an effort, a split, and sometimes a private eval set. DeepSWE publishes the official mini-swe-agent row with cost, tokens, and steps. Scale SWE-bench Pro only counts when the public shared-harness board has a row we can fetch. A higher lab number is usually a different test, not a better one.
No Continuum hosted id is verified for this model, so this page does not invent a curl target. Use the first-party API or the OpenRouter slug deepseek/deepseek-r1-distill-llama-70b.