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Llama 3.3 70B Instruct

by Meta

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).

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Our verdict

Not reviewed yet

We have not reviewed Llama 3.3 70B Instruct yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).

Notes

Llama 3.3 70B Instruct is listed in the EDNA Models directory from the OpenRouter catalogue.

Key facts

What we have checked

Input price
$0.710 per million tokens
Checked OpenRouter models API
Output price
$0.710 per million tokens
Checked OpenRouter models API
Price on akashml
$0.100 per million cached input tokens
Checked OpenRouter models API
Price on akashml
$0.200 per million input tokens
Checked OpenRouter models API
Price on akashml
$0.520 per million output tokens
Checked OpenRouter models API
Price on cloudflare
$0.293 per million input tokens
Checked OpenRouter models API
Price on cloudflare
$2.25 per million output tokens
Checked OpenRouter models API
Price on coreweave
$0.710 per million cached input tokens
Checked OpenRouter models API
Price on coreweave
$0.710 per million input tokens
Checked OpenRouter models API
Price on coreweave
$0.710 per million output tokens
Checked OpenRouter models API
Price on deepinfra
$0.100 per million input tokens
Checked OpenRouter models API
Price on deepinfra
$0.320 per million output tokens
Checked OpenRouter models API

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

Call via OpenRouter with model id `meta-llama/llama-3.3-70b-instruct`.

  • openrouter · meta-llama/llama-3.3-70b-instruct · Docs

OpenRouter id: meta-llama/llama-3.3-70b-instruct

Price

What Llama 3.3 70B Instruct costs, over time

Input price

$0.100 to $0.710

US dollars per million input tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Output price

$0.320 to $0.710

US dollars per million output tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Prices by host

HostPriceOver timeChecked
akashmlCached input$0.100 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
akashmlInput$0.200 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
akashmlOutput$0.520 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
cloudflareInput$0.293 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
cloudflareOutput$2.25 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
coreweaveCached input$0.710 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
coreweaveInput$0.710 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
coreweaveOutput$0.710 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
deepinfraInput$0.100 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
deepinfraOutput$0.320 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexInput$0.720 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexOutput$0.720 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
groqCached input$0.295 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
groqInput$0.590 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
groqOutput$0.790 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
novitaInput$0.135 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
novitaOutput$0.400 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
parasailCached input$0.110 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
parasailInput$0.220 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
parasailOutput$0.500 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
sambanovaInput$0.600 per million input tokensSince 7 Nov 20261 changeOpenRouter models API
sambanovaOutput$1.20 per million output tokensSince 7 Nov 20261 changeOpenRouter models API

Usage

How much Llama 3.3 70B Instruct is used

Tokens served a day

3.9B to 4.7B

tokens a day on OpenRouter. 19 Sept 2026 to 10 Nov 2026, 53 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Scores

How Llama 3.3 70B Instruct scores

Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.

ScoreValueSourceChecked
Artificial Analysis Intelligence Index7.7indexAs of 26 Oct 2026Artificial Analysis via OpenRouter
Artificial Analysis Coding Index11.9indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
LMArena text rating (Elo)1,274EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Price changed

    output per mtok: 0.79 to 0.71

    Source: OpenRouter models API

  2. Price changed

    input per mtok: 0.59 to 0.71

    Source: OpenRouter models API

  3. Price changed

    output per mtok: 0.9 to 1.2

    Source: OpenRouter models API

  4. Price changed

    input per mtok: 0.45 to 0.6

    Source: OpenRouter models API

  5. Price changed

    output per mtok: 0.32 to 0.79

    Source: OpenRouter models API

  6. Price changed

    input per mtok: 0.1 to 0.59

    Source: OpenRouter models API

  7. Price changed

    output per mtok: 0.79 to 0.32

    Source: OpenRouter models API

  8. Price changed

    input per mtok: 0.59 to 0.1

    Source: OpenRouter models API

  9. Price changed

    output per mtok: 0.5 to 0.79

    Source: OpenRouter models API

  10. Price changed

    input per mtok: 0.22 to 0.59

    Source: OpenRouter models API

  11. Price changed

    output per mtok: 0.32 to 0.5

    Source: OpenRouter models API

  12. Price changed

    input per mtok: 0.1 to 0.22

    Source: OpenRouter models API

  13. Price changed

    output per mtok: 0.5 to 0.32

    Source: OpenRouter models API

  14. Price changed

    input per mtok: 0.22 to 0.1

    Source: OpenRouter models API

  15. Price changed

    output per mtok: 0.32 to 0.5

    Source: OpenRouter models API

  16. Price changed

    input per mtok: 0.1 to 0.22

    Source: OpenRouter models API

  17. Price changed

    output per mtok: 0.4 to 0.32

    Source: OpenRouter models API

  18. Price changed

    input per mtok: 0.13 to 0.1

    Source: OpenRouter models API

  19. Price changed

    output per mtok: 0.32 to 0.4

    Source: OpenRouter models API

  20. Price changed

    input per mtok: 0.1 to 0.13

    Source: OpenRouter models API

USAGE / OPENROUTER

How much Llama 3.3 70B Instruct is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
28.8B ▲3.9%
Requests, last 7 days
19.6M
Tool calls, last 7 days
687K
People's vote
1274
Average cost per request
7.7¢
Price per million tokens
$0.71 in · $0.71 out
05B10B19 Sept: 3.9B tokens, 2.8M requests20 Sept: 3.6B tokens, 2.8M requests21 Sept: 4.5B tokens, 2.9M requests22 Sept: 5.2B tokens, 3.8M requests23 Sept: 5.9B tokens, 4.5M requests24 Sept: 7.2B tokens, 4.9M requests25 Sept: 5.7B tokens, 4.2M requests26 Sept: 6.4B tokens, 3.2M requests27 Sept: 9.8B tokens, 3.6M requests28 Sept: 7.1B tokens, 3.1M requests29 Sept: 5.7B tokens, 3.2M requests30 Sept: 6.5B tokens, 3.3M requests1 Oct: 7.3B tokens, 3.9M requests2 Oct: 4.9B tokens, 3.5M requests3 Oct: 4.5B tokens, 3.7M requests4 Oct: 4.3B tokens, 2.8M requests5 Oct: 6.1B tokens, 4M requests6 Oct: 6.9B tokens, 4.8M requests7 Oct: 5.5B tokens, 3.7M requests8 Oct: 6.2B tokens, 4.4M requests9 Oct: 6B tokens, 4.4M requests10 Oct: 4B tokens, 2.6M requests11 Oct: 4B tokens, 2.7M requests12 Oct: 4.4B tokens, 3.3M requests13 Oct: 5.2B tokens, 2.9M requests14 Oct: 5.2B tokens, 3M requests15 Oct: 5.5B tokens, 3.7M requests16 Oct: 5.3B tokens, 3.4M requests17 Oct: 4.6B tokens, 2.6M requests18 Oct: 4.4B tokens, 2.8M requests19 Oct: 4.5B tokens, 2.7M requests20 Oct: 5.3B tokens, 3.2M requests21 Oct: 6.6B tokens, 2.8M requests22 Oct: 4.7B tokens, 3.1M requests23 Oct: 4.8B tokens, 3M requests24 Oct: 4.4B tokens, 2.7M requests25 Oct: 5.5B tokens, 3.2M requests26 Oct: 5.8B tokens, 2.9M requests27 Oct: 5.3B tokens, 3.3M requests28 Oct: 4.4B tokens, 3.1M requests29 Oct: 4.6B tokens, 3.2M requests30 Oct: 3.7B tokens, 2.5M requests31 Oct: 3.4B tokens, 2M requests1 Nov: 3.2B tokens, 2.1M requests2 Nov: 4.1B tokens, 2.7M requests3 Nov: 4.3B tokens, 3M requests4 Nov: 4.4B tokens, 2.9M requests5 Nov: 3.9B tokens, 2.7M requests6 Nov: 3.9B tokens, 2.8M requests7 Nov: 3.9B tokens, 2.7M requests8 Nov: 3.9B tokens, 2.7M requests9 Nov: 4B tokens, 2.7M requests10 Nov: 4.7B tokens, 3.2M requests19 Sept3 Oct17 Oct31 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with Llama 3.3 70B Instruct.

Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-10. Hosting routes and app features can differ.

DeveloperMeta
Exact model identifiermeta-llama/llama-3.3-70b-instruct
Inputtext
Outputtext
Tool calling
Listed support
Structured output
Listed support
Reasoning controls
Not established
Availability
available
Price basis
token
Licence verification
Llama 3.3 Community Licence, open weights (access request)
Context length
131K tokens
Knowledge cutoff
31 Dec 2023
Developer release date
Not established
First seen in the catalogue
6 Dec 2024
Listed retirement date
Not established
Inspect the sources and their scope
catalogue source ↗

meta-llama/llama-3.3-70b-instruct: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-10
openrouter.ai ↗

Source for first seen, tool calling, context length, input, knowledge cutoff, output, structured output.

Checked 2026-11-10
Licence source ↗

Licence declared in the meta-llama/Llama-3.3-70B-Instruct model repository on Hugging Face, which holds the weights files behind an access request. Read the licence terms before use.

Checked 2026-11-07
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Run a reliable agentWorkflow & starter prompt ↗

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 10 Nov 2026, from OpenRouter models API. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Coding Index: 11.9 (2026-11-09) ↗
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