Llama 3.1 70B InstructDeprecated
Benchmarks
independent evaluations · source: Artificial Analysis| Benchmark | Best score | Effort | Cost / task | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CritPt | 0% | default | — | |||||||||||||
| EvalComputeProxyFrozen Aug 18, 2026 | 15.0 | default | — | |||||||||||||
| GPQA Diamond | 41% | default | — | |||||||||||||
| ||||||||||||||||
| Humanity's Last Exam | 4% | default | — | |||||||||||||
| IFBench | 34% | default | — | |||||||||||||
| LiveCodeBench | 23% | default | — | |||||||||||||
| Long-Context ReasoningArtificial Analysis did not report this score in its latest run on Oct 14, 2026 | 8% | — | — | |||||||||||||
| MMLU-ProFrozen Aug 18, 2026 | 68% | default | — | |||||||||||||
| Omniscience | -43.1 | default | — | |||||||||||||
| Omniscience Accuracy | 0.2 | default | — | |||||||||||||
| Omniscience Non Hallucination | 0.2 | default | — | |||||||||||||
| SciCodeArtificial Analysis did not report this score in its latest run on Oct 14, 2026 | 27% | — | — | |||||||||||||
| TerminalBench Hard | 3% | default | — | |||||||||||||
| τ²-bench | 15% | default | — | |||||||||||||
Pricing by serving provider
standard tier · per 1M tokens · click a provider to expandInput pricing runs from $0.12 to $2.68 per 1M tokens across 12 providers, so the dearest route costs 2133% more than the cheapest for the same model.
| Serving provider | Input /1M | Output /1M | Endpoints | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HyperbolicCheapest | $0.12 | $0.30 | 1 | ||||||||||
Standardhyperbolic/meta-llama/Meta-Llama-3.1-70B-Instruct
| |||||||||||||
| Nebius | $0.13 | $0.40 | 1 | ||||||||||
Standardnebius/meta-llama/Meta-Llama-3.1-70B-Instruct
| |||||||||||||
| DeepInfra | $0.40 | $0.40 | 1 | ||||||||||
Standarddeepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct
| |||||||||||||
| OpenRouter | $0.40 | $0.40 | 1 | ||||||||||
Standardmeta-llama/llama-3.1-70b-instruct
| |||||||||||||
| Friendliai | $0.60 | $0.60 | 1 | ||||||||||
Standardfriendliai/meta-llama-3.1-70b-instruct
| |||||||||||||
| Ovhcloud | $0.67 | $0.67 | 1 | ||||||||||
Standardovhcloud/Meta-Llama-3_1-70B-Instruct
| |||||||||||||
| Amazon Bedrock | $0.72 | $0.72 | 1 | ||||||||||
Standardmeta.llama3-1-70b-instruct-v1:0
| |||||||||||||
| OCI | $0.72 | $0.72 | 1 | ||||||||||
Standardoci/meta.llama-3.1-70b-instruct
| |||||||||||||
| Azure is dearest at $2.68 / $3.54 | |||||||||||||
Price history
listed seller prices, input and output per 1M tokensCost calculator
estimate your monthly spend on this modelModel IDs
copy the exact identifier for your platformFrequently asked questions
Llama 3.1 70B Instruct pricing, context and availabilityIs Llama 3.1 70B Instruct still available?
Llama 3.1 70B Instruct was deprecated on 2025-06-30, but 12 serving providers still list it.
How much does Llama 3.1 70B Instruct cost?
Llama 3.1 70B Instruct costs $0.12 per 1M input tokens from Hyperbolic, and $0.30 per 1M output tokens from Hyperbolic. Across 12 serving providers, input prices range from $0.12 to $2.68 per 1M tokens.
What is the context window of Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct accepts up to 131K tokens of context and can return up to 131K output tokens.
Which providers serve Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is available from 12 serving providers, each with its own pricing and model ID. Hyperbolic is currently the cheapest.
What can Llama 3.1 70B Instruct do?
Llama 3.1 70B Instruct supports tool use.
Other Meta models
compare pricing across the Meta lineupEvery weekday
AI moves fast. Here's your debrief.
News, analysis, tools, and more.
For people who build with AI