Llama-2-70b-chat: benchmark scores, price and ranking
Llama-2-70b-chat from Meta AI ranks #600 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Meta AI
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2023-07-18 (source: epoch)
- Cheapest API price
- $0.650 in / $2.75 out per million tokens (via replicate, observed 2026-10-13T20:47Z)
- Aggregate rank
- #600 of 743 (score 45.3)
Across the 1 benchmark where at least ten models are scored, Llama-2-70b-chat is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.650 per million tokens, is lower than that of 43% of the 427 models with a listed price.
Llama-2-70b-chat benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| DTBench | 41.6% | #146 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Llama-2-70b-chat
Llama-2-70b-chat is an open-weight model that can run on your own hardware from Meta AI. It was released on 2023-07-18, according to Epoch AI. The cheapest API listing we track charges $0.650 per million input tokens and $2.75 per million output tokens, through replicate. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Llama-2-70b-chat stands
On our aggregate score, Llama-2-70b-chat is #600 of 743 ranked models, in the lower half. Its score is 45.3; the scale is centred on 50, so it sits 4.7 points below the typical model. That beats 19% of the ranked field. Among the 28 ranked Meta AI models it is #17. The next one up is Llama-2-13b-chat at 45.3. The next one down is Llama-3.1-405B-Instruct at 43.6.
Llama-2-70b-chat, benchmark by benchmark
DTBench is a weak spot. Llama-2-70b-chat scores 41.6%, #146 of 146, behind 99% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so Llama-2-70b-chat is 27.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Llama-2-70b-chat costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on GPT-5.4 mini (xhigh) ($0.750) and amazon.nova-pro-v1:0 ($0.800).
Release history
The Meta AI model released before it was Llama-2-13b-chat on 2023-07-18, which scores 45.3. The next one was Llama-2-70b-chat-hf on 2023-07-18, at 42.9.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #597 WizardLM-2-8x22B (45.3)
- #598 c4ai-command-r7b-12-2024 (45.3)
- #599 Nemotron 3 Super (45.3)
- #601 Mistral-Nemo-Instruct-2407 (45.2)
- #602 claude-haiku-4-5-20251001 (45.2)
- #603 Meta-Llama-3-8B (45.2)
More from Meta AI
- Muse Spark 1.3 (max) (#18, 55.1)
- Muse Spark (#29, 53.7)
- Muse Spark 1.1 (xhigh) (#66, 52.4)
- Muse Spark 1.2 (xhigh) (#113, 51.5)
- Llama 3.1-405B (#142, 51.2)
- Muse Wonder (max) (#209, 50.1)
Compare it on the live leaderboard → · How the aggregate score works