Llama 3.1 70B Instruct
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...
Updated 1 h ago · first seen 11 Sept 2026
model_01M294WWPBTMRSH3C54C1WQF2T
- Context
- 131.1K tokens
- T2 · 1 h ago
- Released
- 23 Jul 2024
- T2 · 1 h ago
- Knowledge cutoff
- Dec 2023
- T2 · 1 h ago
Specification
- Release date
- 23 Jul 2024
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Context window
- 131.1K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Max output
- 16.4K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Knowledge cutoff
- Dec 2023
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Tokenizer
- Llama3
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Hugging Face repo
- meta-llama/Meta-Llama-3.1-70B-Instruct
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Instruct type
- llama3
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Openrouter id
- meta-llama/llama-3.1-70b-instruct
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Supported parameters
- frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
15
Source tiers
T215
Freshest observation
1 h ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 131.1K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Max output
- 16.4K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Knowledge cutoff
- Dec 2023
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Tokenizer
- Llama3
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRoutermeta-llama/llama-3.1-70b-instruct | $0.40 | $0.40 | — | — | 131.1K | 1 h ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Supported parameters
Supported parameterssupported_parameters1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
OpenRouter lists Llama 3.1 70B Instruct at $0.4 in / $0.4 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 1 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.