DeepSWE
No official DeepSWE mini-swe-agent row for this identity on the public board we fetched.
Context window on the 2026-08-19 OpenRouter row: 131,072 tokens.
Max completion tokens on that row: 16,384.
Input / output on that row: $0.10 / $0.32 per 1M tokens.
Architecture fields: text->text · Llama3 · llama3.
Hugging Face id on that row: meta-llama/Llama-3.3-70B-Instruct.
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
When you want the 2024-12-06 catalog SKU, not a later rename.
No independent board lists this exact SKU as of 2026-08-19.
Closest benchmarked sibling: Muse Spark 1.2, 55% ±2% Pass@1 at xhigh on the DeepSWE official board. That is a score for the sibling, not for this SKU.
Boards checked: DeepSWE official (2026-08-13), Artificial Analysis Intelligence Index, vals.ai hero index. Every card that does carry a row is on the coding leaderboard.
No official DeepSWE mini-swe-agent row for this identity on the public board we fetched.
No Intelligence Index integer fetched for this identity. Chip omitted.
We did not open a vals.ai card for this identity. Chip omitted.
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: meta-llama/Llama-3.3-70B-Instruct. Community GGUF is a quant, not a second Continuum card.
Hugging Face Hub API 2026-08-19: gated=manual.
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-00030.safetensors | 4,584,408,808 |
model-00002-of-00030.safetensors | 4,664,167,376 |
model-00003-of-00030.safetensors | 4,999,711,704 |
model-00004-of-00030.safetensors | 4,966,157,032 |
model-00005-of-00030.safetensors | 4,664,134,408 |
model-00006-of-00030.safetensors | 4,664,167,408 |
model-00007-of-00030.safetensors | 4,664,167,408 |
model-00008-of-00030.safetensors | 4,999,711,728 |
model-00009-of-00030.safetensors | 4,966,157,056 |
model-00010-of-00030.safetensors | 4,664,134,408 |
model-00011-of-00030.safetensors | 4,664,167,408 |
model-00012-of-00030.safetensors | 4,664,167,408 |
model-00013-of-00030.safetensors | 4,999,711,728 |
model-00014-of-00030.safetensors | 4,966,157,056 |
model-00015-of-00030.safetensors | 4,664,134,408 |
model-00016-of-00030.safetensors | 4,664,167,408 |
model-00017-of-00030.safetensors | 4,664,167,408 |
model-00018-of-00030.safetensors | 4,999,711,728 |
model-00019-of-00030.safetensors | 4,966,157,056 |
model-00020-of-00030.safetensors | 4,664,134,408 |
model-00021-of-00030.safetensors | 4,664,167,408 |
model-00022-of-00030.safetensors | 4,664,167,408 |
model-00023-of-00030.safetensors | 4,999,711,728 |
model-00024-of-00030.safetensors | 4,966,157,056 |
model-00025-of-00030.safetensors | 4,664,134,408 |
model-00026-of-00030.safetensors | 4,664,167,408 |
model-00027-of-00030.safetensors | 4,664,167,408 |
model-00028-of-00030.safetensors | 4,999,711,728 |
model-00029-of-00030.safetensors | 4,966,173,536 |
model-00030-of-00030.safetensors | 2,101,346,432 |
original/consolidated.00.pth | 17,640,971,024 |
original/consolidated.01.pth | 17,640,971,024 |
original/consolidated.02.pth | 17,640,971,024 |
original/consolidated.03.pth | 17,640,971,024 |
original/consolidated.04.pth | 17,640,971,024 |
original/consolidated.05.pth | 17,640,971,024 |
original/consolidated.06.pth | 17,640,971,024 |
original/consolidated.07.pth | 17,640,971,024 |
tokenizer.json | 17,209,920 |
original/tokenizer.model | 2,183,982 |
model.safetensors.index.json | 59,615 |
tokenizer_config.json | 55,425 |
README.md | 36,544 |
LICENSE | 7,909 |
USE_POLICY.md | 6,021 |
.gitattributes | 1,570 |
original/.gitattributes | 1,519 |
config.json | 879 |
original/checklist.chk | 528 |
original/README.md | 433 |
original/params.json | 221 |
generation_config.json | 189 |
special_tokens_map.json | 68 |
All 53 files the tree API returned are listed: every one of the 30 safetensor shards plus 23 other files. Files tab: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/tree/main.
OpenRouter slug meta-llama/llama-3.3-70b-instruct on the 2026-08-19 catalog.
First party: https://www.llama.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: $0.10 in / $0.32 out per 1M tokens. Context 131,072 in / 16,384 out.
No separate internal-reasoning price on that row.
| Claim | Source | As of |
|---|---|---|
| OpenRouter id meta-llama/llama-3.3-70b-instruct; context 131072; created 1733506137; $0.10 / $0.32 per 1M | OpenRouter /api/v1/models | 2026-08-19 |
| OpenRouter id meta-llama/llama-3.3-70b-instruct, context 131,072 | OpenRouter /api/v1/models | 2026-08-19 |
| HF downloads 322,494 | Hugging Face API meta-llama/Llama-3.3-70B-Instruct | 2026-08-19 |
| HF safetensors.total: 70,553,706,496 stored tensors; HF API usedStorage 282,254,659,966 bytes; created 2024-11-26T16:08:47.000Z; HF tensors BF16 | Hugging Face API meta-llama/Llama-3.3-70B-Instruct | 2026-08-19 |
| 30 safetensor shards; shard bytes 141,107,497,872; tree files 53 | Hugging Face tree API meta-llama/Llama-3.3-70B-Instruct | 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 Meta's model family with Llama 3.2 1B Instruct.
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 meta-llama/llama-3.3-70b-instruct.