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Meta: Llama 3.1 70B Instruct

meta-llama/llama-3.1-70b-instruct

Model weights

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases.

It has demonstrated strong performance compared to leading closed-source models in human evaluations.

To read more about the model release, click here. Usage of this model is subject to Meta's Acceptable Use Policy.

Modalities
In / out price
$0.72 / $0.72per 1M
Context
131K
Released
Jul 23, 2024
Knowledge cutoff
Dec 2023

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input
$0.7195/M tokens
Output
$0.715/M tokens
Price history
No effective price data for this selection

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput
69tok/s

P50, best across providers

Latency
0.35s

P50, best provider

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.99%

Availability over the last 3 days

Last 72 hours
Availability 99.99%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Meta: Llama 3.1 70B Instruct (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisLlama 3.1 Instruct 70B GPQA Diamond40.9%
Artificial AnalysisLlama 3.1 Instruct 70B HLE4.5%
Artificial AnalysisLlama 3.1 Instruct 70B IFBench34.4%
Artificial AnalysisLlama 3.1 Instruct 70B τ²-Bench Telecom15.2%
Artificial AnalysisLlama 3.1 Instruct 70B CritPt0.0%
Artificial AnalysisLlama 3.1 Instruct 70B LiveCodeBench23.2%
Artificial AnalysisLlama 3.1 Instruct 70B Terminal-Bench Hard3.0%
Artificial AnalysisLlama 3.1 Instruct 70B MMLU-Pro67.6%
Artificial AnalysisLlama 3.1 Instruct 70B AIME 20254.0%
Artificial AnalysisLlama 3.1 Instruct 70B AIME17.3%
Artificial AnalysisLlama 3.1 Instruct 70B MATH-50064.9%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

1.
302Mtokens
2.
147Mtokens
3.
Favicon for https://sillytavern.app/
SillyTavern
83Mtokens
4.
Favicon for https://openclaw.ai/
OpenClaw
43.4Mtokens
5.
Favicon for https://nousresearch.com
Hermes Agent
37.3Mtokens
Rest of OpenRouter
131M
Top 5 Apps
2.84M

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Frequently asked questions

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