Meta-Llama-3-70B-Instruct: benchmark scores, price and ranking
Meta-Llama-3-70B-Instruct from Meta AI ranks #704 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.5), based on 4 benchmark results captured up to 2026-10-13.
- Organisation
- Meta AI
- Type
- Frontier model
- Open weights
- No
- Released
- 2024-04-18 (source: epoch)
- Cheapest API price
- $0.120 in / $0.300 out per million tokens (via hyperbolic, observed 2026-10-13T20:47Z)
- Aggregate rank
- #704 of 743 (score 42.5)
Relative to other models, Meta-Llama-3-70B-Instruct is strongest on DTBench (#116 of 146) and weakest on Cybench (#16 of 16).
Across the 4 benchmarks where at least ten models are scored, Meta-Llama-3-70B-Instruct is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.120 per million tokens, is lower than that of 77% of the 427 models with a listed price.
Meta-Llama-3-70B-Instruct benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| DTBench | 54.2% | #116 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 40.6% | #221 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
| OTIS Mock AIME | 4.3% | #162 of 189 | Epoch AI Benchmarking Hub | 2026-10-13 |
| Cybench | 5.0% | #16 of 16 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Meta-Llama-3-70B-Instruct
Meta-Llama-3-70B-Instruct is a frontier model from Meta AI. It was released on 2024-04-18, according to Epoch AI. The cheapest API listing we track charges $0.120 per million input tokens and $0.300 per million output tokens, through hyperbolic. We hold 4 benchmark results for it across 3 areas, and none is in the top tenth of its board.
Where Meta-Llama-3-70B-Instruct stands
On our aggregate score, Meta-Llama-3-70B-Instruct is #704 of 743 ranked models, in the lower half. Its score is 42.5; the scale is centred on 50, so it sits 7.5 points below the typical model. That beats 5% of the ranked field. Among the 28 ranked Meta AI models it is #21. The next one up is Llama-3.1-70B-Instruct at 42.6. The next one down is Llama 3.2 1B at 42.0.
Meta-Llama-3-70B-Instruct, benchmark by benchmark
Meta-Llama-3-70B-Instruct lands below the middle on DTBench: 54.2%, #116 of 146, with 79% of the field scoring higher. Claude Opus 5.5 (max) leads at 98.9%; the closest result above is gpt-4o-mini-2024-07-18 at 54.4%. It covers dynamic tool-use benchmark. The board median is 68.8%, so Meta-Llama-3-70B-Instruct is 14.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. Meta-Llama-3-70B-Instruct scores 40.6%, #221 of 275, behind 80% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so Meta-Llama-3-70B-Instruct is 31.2 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
OTIS Mock AIME is a weak spot. Meta-Llama-3-70B-Instruct scores 4.3%, #162 of 189, behind 85% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so Meta-Llama-3-70B-Instruct is 53.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Cybench is a weak spot. Meta-Llama-3-70B-Instruct scores 5.0%, #16 of 16, behind 94% of the models measured. The leader, grok-4-0709, reaches 43.0%. It covers cybersecurity capture-the-flag tasks. The board median is 17.5%, so Meta-Llama-3-70B-Instruct is 12.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: weak, ahead of 17% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#221 of 275) and its weakest is OTIS Mock AIME (#162 of 189).
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Meta-Llama-3-70B-Instruct costs less 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 Llama 4 Maverick ($0.188) and Trinity Large Thinking ($0.250).
Release history
The Meta AI model released before it was Llama-2-70b-chat-hf on 2023-07-18, which scores 42.9. The next one was Meta-Llama-3-8B-Instruct on 2024-04-18, at 39.4.
Reading these numbers
The 4 scores on this page come from 1 source: Epoch AI Benchmarking Hub (4). No official leaderboard supplied any of them, so treat them as third-party measurements. With 4 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #701 Gemini 1.5 Flash (May 2024) (42.6)
- #702 gpt-4-turbo-2024-04-09 (42.6)
- #703 ministral-8b-2410 (42.6)
- #705 Qwen2-0.5B (42.4)
- #706 Qwen2.5-0.5B (42.4)
- #707 gemma-3-1b-it (42.4)
More from Meta AI
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- Muse Wonder (max) (#209, 50.1)
Compare it on the live leaderboard → · How the aggregate score works