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). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.

Model Card

meta/llama-3.3-70b-instruct
Organization
Meta
Family
llama
Providers
23
Context
128,000
Output limit
4,096
Knowledge
2023-12
Release
2024-12-06
Updated
2024-12-06
Weights
Open
Input
text
Output
text
Capabilities
Tools, Temperature

Providers

Compare every cataloged offer for this model, including its provider, route, token limits, price, and capabilities.

38 offers · USD per million tokens
ProviderModel IDContextOutputInput / output · 1MReasoningToolsStructuredDetails
Abacus
meta-llama/Meta-Llama-3.3-70B-Instruct
131,0728,192$0.59 / $0.79NoYes—
View
Amazon Bedrock
meta.llama3-3-70b-instruct-v1:0
128,0004,096$0.72 / $0.72NoYes—
View
Amazon Bedrock
us.meta.llama3-3-70b-instruct-v1:0
128,0004,096$0.72 / $0.72NoYes—
View
Cloudflare Workers AI
@cf/meta/llama-3.3-70b-instruct-fp8-fast
24,00024,000$0.293 / $2.253NoYesNo
View
CoreWeave
meta-llama/Llama-3.3-70B-Instruct
128,000128,000$0.71 / $0.71NoYesYes
View
Cortecs
llama-3.3-70b-instruct
131,000131,000$0.724 / $0.724NoYesYes
View
Crusoe
meta-llama/Llama-3.3-70B-Instruct
128,0004,096$0.25 / $0.75NoYes—
View
DevPass (LLM Gateway)
llama-3.3-70b-instruct
131,0724,096$0.135 / $0.40NoYes—
View
Eden AI
scaleway/llama-3.3-70b-instruct
128,0004,096$1.01025 / $1.01025NoYesNo
View
Eden AI
deepinfra/meta-llama/Llama-3.3-70B-Instruct
131,0724,096$0.10 / $0.32NoYesYes
View
Eden AI
ionos/meta-llama/Llama-3.3-70B-Instruct
128,0004,096$0.729625 / $0.729625NoNoNo
View
evroc
nvidia/Llama-3.3-70B-Instruct-FP8
128,0004,096$1.15 / $1.15NoYes—
View
GreenPT
llama-3.3-70b-instruct
100,00016,384$1.254 / $1.254NoYes—
View
Hugging Face
meta-llama/Llama-3.3-70B-Instruct
131,0724,096$0.59 / $0.79NoYesYes
View
Kilo Gateway
meta-llama/llama-3.3-70b-instruct
131,07216,384$0.10 / $0.32NoYesYes
View
LLM Gateway
cerebras/llama-3.3-70b-instruct
128,0004,096$0.85 / $1.20NoYesNo
View
LLM Gateway
novita/llama-3.3-70b-instruct
131,072120,000$0.135 / $0.40NoYesNo
View
Merge Gateway
meta/llama-3.3-70b-instruct
131,07232,768$0.22 / $0.50NoYesNo
View
NanoGPT
meta-llama/llama-3.3-70b-instruct
131,07216,384$0.05 / $0.23NoYesYes
View
Neon
meta-llama-3-3-70b-instruct
128,0008,192$0.50 / $1.50NoYesYes
View
OCI Generative AI
meta.llama-3.3-70b-instruct
128,0004,096$0.72 / $0.72NoNo—
View
AkashMLvia OpenRouter
meta-llama/llama-3.3-70b-instruct
fp8
131,072128,000$0.20 / $0.52NoYesYes
View
Cloudflarevia OpenRouter
meta-llama/llama-3.3-70b-instruct
fp8
24,00021,600$0.293 / $2.253NoNoNo
View
CoreWeavevia OpenRouter
meta-llama/llama-3.3-70b-instruct
fp16
128,000115,200$0.71 / $0.71NoYesYes
View
DeepInfravia OpenRouter
meta-llama/llama-3.3-70b-instruct
fp8
131,07216,384$0.10 / $0.32NoYesYes
View
Googlevia OpenRouter
meta-llama/llama-3.3-70b-instruct
unknown
128,0008,192$0.72 / $0.72NoYesYes
View
Googlevia OpenRouter
meta-llama/llama-3.3-70b-instruct
unknown
128,000115,200$0.72 / $0.72NoNoNo
View
Groqvia OpenRouter
meta-llama/llama-3.3-70b-instruct
unknown
131,07232,768$0.59 / $0.79NoYesNo
View
Novitavia OpenRouter
meta-llama/llama-3.3-70b-instruct
bf16
12,28811,059$0.135 / $0.40NoYesNo
View
Parasailvia OpenRouter
meta-llama/llama-3.3-70b-instruct
fp8
131,07216,384$0.22 / $0.50NoNoYes
View
PrimeIntellectvia OpenRouter
meta-llama/llama-3.3-70b-instruct
unknown
131,07216,384$1.04 / $2.253NoYesYes
View
SambaNovavia OpenRouter
meta-llama/llama-3.3-70b-instruct
unknown
131,0723,072$0.45 / $0.90NoNoYes
View
Togethervia OpenRouter
meta-llama/llama-3.3-70b-instruct
unknown
131,0722,048$1.04 / $1.04NoYesYes
View
Pendra
llama3.3:70b
128,0004,096$0.00 / $0.00NoYes—
View
Pioneer
meta-llama/Llama-3.3-70B-Instruct
16,38416,384$0.90 / $0.90NoYes—
View
Snowflake Cortex
snowflake-llama3.3-70b
128,0004,096— / —NoYes—
View
Tinfoil
llama3-3-70b
131,0724,096$1.75 / $2.75NoYes—
View
watsonx.ai
meta-llama/llama-3-3-70b-instruct
131,0724,096$0.7526 / $0.7526NoYes—
View

Prices and limits apply to each offer. A dash means the value is not provided. OpenRouter offers show the hosting provider and routing channel separately.

Pricing

Compare token rates and cache charges across available routes and hosting configurations.

USD per million tokens
Input from$0.00Per 1M input tokens
Output from$0.00Per 1M output tokens
Available offers38Across 23 providers

Lowest listed input and output prices across the offers above; they may belong to different providers. These are base rates, before conditional pricing, discounts or additional fees.

Endpoint price comparisonLatest observed snapshot · 10 lowest-priced configurations
InputOutput
DeepInfradeepinfra/turbo
$0.10$0.32
Novitanovita/bf16
$0.135$0.40
AkashMLakashml/fp8
$0.20$0.52
Parasailparasail/fp8
$0.22$0.50
Cloudflarecloudflare/fp8
$0.293$2.253
SambaNovasambanova-turbo
$0.45$0.90
Groqgroq
$0.59$0.79
CoreWeavecoreweave/fp16
$0.71$0.71
Googlegoogle-vertex/us-central1
$0.72$0.72
Googlegoogle-vertex
$0.72$0.72
meta-llama/llama-3.3-70b-instructObserved
Input
$0.22
Output
$0.50
Cache read
$0.11
Hosting prices through OpenRouter All endpoints and cache rates
EndpointInput / 1MOutput / 1MCache read / 1MCache write / 1M
AkashMLakashml/fp8$0.20$0.52$0.10—
Cloudflarecloudflare/fp8$0.293$2.253——
CoreWeavecoreweave/fp16$0.71$0.71$0.71—
DeepInfradeepinfra/turbo$0.10$0.32——
Googlegoogle-vertex/us-central1$0.72$0.72——
Googlegoogle-vertex$0.72$0.72——
Groqgroq$0.59$0.79$0.295—
Novitanovita/bf16$0.135$0.40——
Parasailparasail/fp8$0.22$0.50$0.11—
PrimeIntellectprimeintellect$1.04$2.253——
SambaNovasambanova-turbo$0.45$0.90——
Togethertogether$1.04$1.04——

Each row is a hosting configuration. Open an offer in Providers for its full pricing conditions and additional fees. Endpoint observations may differ from the routing catalog's base price.

Performance

Review reported latency and output-throughput percentiles from the latest observed rolling window.

Latest 30-minute observation

Time to first token · milliseconds

Latency distributionRolling 30-minute snapshot · 6 endpoints
P50P75P90P99
AkashMLakashml/fp8
1,359–6,016.72 ms
Cloudflarecloudflare/fp8
380–3,809.9 ms
CoreWeavecoreweave/fp16
1,108–10,493.22 ms
DeepInfradeepinfra/turbo
368–3,470.18 ms
Groqgroq
344–1,259.36 ms
Novitanovita/bf16
966–4,817.44 ms
All latency percentiles 10 endpoints
EndpointP50P75P90P99
AkashMLakashml/fp81,359 ms1,972 ms2,714.8 ms6,016.72 ms
Cloudflarecloudflare/fp8380 ms599 ms1,035 ms3,809.9 ms
CoreWeavecoreweave/fp161,108 ms2,247.5 ms4,943 ms10,493.22 ms
DeepInfradeepinfra/turbo368 ms586 ms1,003.9 ms3,470.18 ms
Groqgroq344 ms479 ms642 ms1,259.36 ms
Novitanovita/bf16966 ms1,399 ms1,863.6 ms4,817.44 ms
Parasailparasail/fp8604 ms901 ms1,444.9 ms3,957.9 ms
PrimeIntellectprimeintellect485 ms676.25 ms916 ms1,331.27 ms
SambaNovasambanova-turbo544.5 ms782 ms1,183.1 ms2,337.42 ms
Togethertogether439 ms656.5 ms970 ms2,804.54 ms

Output throughput · tokens per second

Throughput distributionRolling 30-minute snapshot · 6 endpoints
P50P75P90P99
AkashMLakashml/fp8
33–49 t/s
Cloudflarecloudflare/fp8
44.5–76.83 t/s
CoreWeavecoreweave/fp16
52–85 t/s
DeepInfradeepinfra/turbo
20–30 t/s
Groqgroq
259–429.09 t/s
Novitanovita/bf16
34–48.67 t/s
All throughput percentiles 10 endpoints
EndpointP50P75P90P99
AkashMLakashml/fp833 t/s38 t/s42 t/s49 t/s
Cloudflarecloudflare/fp844.5 t/s58 t/s68.3 t/s76.83 t/s
CoreWeavecoreweave/fp1652 t/s63 t/s72 t/s85 t/s
DeepInfradeepinfra/turbo20 t/s24 t/s26 t/s30 t/s
Groqgroq259 t/s317 t/s355 t/s429.09 t/s
Novitanovita/bf1634 t/s40 t/s45 t/s48.67 t/s
Parasailparasail/fp844 t/s60 t/s81 t/s124 t/s
PrimeIntellectprimeintellect58 t/s68.25 t/s87.7 t/s219.03 t/s
SambaNovasambanova-turbo124 t/s169 t/s228 t/s301.6 t/s
Togethertogether54 t/s69 t/s89.4 t/s141.28 t/s

Percentiles describe the observed request distribution. These are snapshots of a rolling window, not a historical time series.

Uptime

Compare successful request rates across the latest 5-minute, 30-minute, and 24-hour observations.

Successful requests by window
Availability by endpointCurrent overlapping windows · 12 endpoints
Endpoint5 minutes30 minutes24 hours
AkashMLakashml/fp8
Cloudflarecloudflare/fp8
CoreWeavecoreweave/fp16
DeepInfradeepinfra/turbo
Googlegoogle-vertex/us-central1
Googlegoogle-vertex
Groqgroq
Novitanovita/bf16
Parasailparasail/fp8
PrimeIntellectprimeintellect
SambaNovasambanova-turbo
Togethertogether

Reported by OpenRouter at the time of collection; rate-limited requests are excluded. A dash means no measurement was reported. This is not a live availability check.

Benchmarks

Review attributed evaluation results on each source's original scale.

External evaluations
meta-llama/llama-3.3-70b-instructObserved
Benchmark profileArtificial Analysis · shared source scale from 0 to 20
Coding11.9

Sources: Artificial Analysis and Design Arena, via OpenRouter. Scores retain their original scales and are not OpenAI Suite ratings.

Detailed evaluations

Evaluation scoresAccuracy or item F1 · higher is better
tau bench verified airlineMeta: Llama 3.3 70B Instruct
34.006%
gpqa diamondMeta: Llama 3.3 70B Instruct
47.327%
EvaluationConfigurationSourceResultsDetails
tau bench verified airlineMeta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instructOpenRouter34.006%
Details
gpqa diamondMeta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instructOpenRouter47.327%
Details
Composite indicesLlama 3.3 Instruct 70Bmeta-llama/llama-3.3-70b-instructArtificial AnalysisIntelligence — · Coding 11.9 · Agentic —
Details

Sources: Artificial Analysis, Design Arena and OpenRouter. Evaluation configurations and scales differ; results are not interchangeable. Updated Oct 4, 2026.

Apps & session costs

Compare observed median session costs for applications using this model, grouped by conversation length.

30-day sample · through Sep 27, 2026
ApplicationModel routeTurnsMedian cost / sessionDetails
Hermes Agentmeta-llama/llama-3.3-70b-instruct10–49 turns
$0.00944
Details
Hermes Agentmeta-llama/llama-3.3-70b-instruct2–9 turns
$0.004097
Details
Hermes Agentmeta-llama/llama-3.3-70b-instruct1 turn
$0.001918
Details

Source: OpenRouter, as of Oct 2, 2026. Published under CC BY 4.0. These are observed costs per session, not token prices or a forecast for your workload. Apps are compared separately.

Technical details & API

Explore specifications, supported parameters, reasoning controls, and API identifiers for each OpenRouter route.

Current route specifications
meta-llama/llama-3.3-70b-instructObserved
Context
131,072
Maximum output
16,384
Tokenizer
Llama3
Input
text
Output
text
Moderation
No
Instruction format
llama3
Knowledge cutoff
2023-12-31
Added to OpenRouter
2024-12-06
Base URLhttps://openrouter.ai/api/v1
Model IDmeta-llama/llama-3.3-70b-instruct
Version IDmeta-llama/llama-3.3-70b-instruct
Weights IDmeta-llama/Llama-3.3-70B-Instruct

Supported parameters

  • frequency_penalty
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Frequently asked questions

Answers based on the model metadata and serving offers currently in the catalog.

How much does Llama-3.3-70B-Instruct cost?

Listed rates start at $0.00 per million input tokens and $0.00 per million output tokens. Prices vary by provider and configuration; see Pricing for details.

Which providers offer Llama-3.3-70B-Instruct?

There are 38 cataloged offers across 23 providers. Compare model IDs, prices and limits in Providers.

What is the context window?

The cataloged model context is 128,000 tokens. Each serving endpoint may apply a different limit.

Does it support tools and structured output?

Tool calling: Yes. Structured output: Not reported. Support can vary by endpoint.

Resources

Catalog history · 2 recorded revisions

Metadata observations since this model was first cataloged. These are not model release versions.

  • · cafdb74fee26
  • · 8e4e79035892