Meta · Released Dec 6, 2024

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...

Open weights
Released
Dec 6 2024
Context window
131K 16K out
Input / 1M tokens
$0.10 from Free
Output / 1M tokens
$0.32 from Free

Where to run it

48 providers compared

Free to try on Pendra, Llama — free endpoints are often limited-time and rate-limited. Cheapest: Meganova at $0.10 / $0.30 per 1M input / output tokens — 95% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
Pendrafree · may be limited-time Free Free —128K4K— Free
Llamafree · may be limited-time Free Free —128K4K— Free
Meganova $0.10 $0.30 —131K16K— Cheapest
DeepInfraFP8 $0.10 $0.32 —131K16K99.7%24h +3%
Kilo Gateway $0.10 $0.32 —131K16K— +3%
NovitaBF16 $0.14 $0.40 —12K11K99.9%24h +34%
LLM Gateway $0.14 $0.40 —131K120K— +34%
Novita AI $0.14 $0.40 —12K12K— +34%
DevPass (LLM Gateway) $0.14 $0.40 —131K4K— +34%
AkashMLFP8 $0.20 $0.52 $0.10131K128K100%24h +87%
ParasailFP8 · no tool calling $0.22 $0.50 $0.11131K16K99.9%24h +93%
Merge Gateway $0.22 $0.50 $0.11131K33K— +93%
Crusoe $0.25 $0.75 $0.13128K4K— +150%
SambaNovano tool calling $0.45 $0.90 —131K3K99.9%24h +275%
STACKIT $0.53 $0.76 —128K4K— +292%
Groq $0.59 $0.79 $0.29131K33K100%24h +327%
Helicone $0.59 $0.79 —131K33K— +327%
Abacus $0.59 $0.79 —128K33K— +327%
Hugging Face $0.59 $0.79 —131K4K— +327%
DigitalOcean $0.65 $0.65 —128K4K— +333%
IO.NET $0.55 $1.02 $0.27128K4K— +344%
CoreWeaveFP16 $0.71 $0.71 $0.71128K115K100%24h +373%
Azure $0.71 $0.71 —128K33K— +373%
Azure Cognitive Services $0.71 $0.71 —128K33K— +373%
Googleus-central1 $0.72 $0.72 —128K8K— +380%
Googleno tool calling $0.72 $0.72 —128K115K— +380%
Vercel AI Gateway $0.72 $0.72 —128K8K— +380%
Amazon Bedrock $0.72 $0.72 —128K4K— +380%
OCI Generative AIno tool calling $0.72 $0.72 —128K4K— +380%
Cortecs $0.72 $0.72 —131K131K— +383%
OVHcloud AI Endpoints $0.74 $0.74 —131K131K— +393%
Neon $0.50 $1.50 —128K8K— +400%
watsonx.ai $0.75 $0.75 —131K4K— +402%
CloudflareFP8 · no tool calling $0.29 $2.25 —24K22K100%24h +422%
Cloudflare Workers AI $0.29 $2.25 —24K24K— +422%
Pioneer $0.90 $0.90 $0.9016K16K— +500%
Scaleway $1.01 $1.01 —100K16K— +573%
Eden AI $1.01 $1.01 —128K4K— +574%
Together $1.04 $1.04 —131K2K98.6%24h +593%
Together AI $1.04 $1.04 —131K131K— +593%
Regolo AI $0.60 $2.70 —128K16K— +650%
evroc $1.15 $1.15 —128K4K— +667%
Venice AI $0.70 $2.80 —128K4K— +717%
GreenPT $1.25 $1.25 —100K16K— +736%
Prime Inference $1.04 $2.25 —131K16K— +795%
AI/ML API $1.35 $1.35 —128K127K— +801%
NanoGPTno tool calling $1.75 $2.75 $1.75128K16K— +1233%
Tinfoil $1.75 $2.75 —131K4K— +1233%
CloudFerro Sherlock $2.92 $2.92 —70K70K— +1847%

Value

Price vs. performance

20 models score higher for the same price or lesson GPQA Diamond, e.g. GLM 5.2.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.044/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.44/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in Llama 3.3 70B Instruct

Llama 3.3 70B Instruct Other Meta Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

7 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 26.0% #98of 102 Claude Opus 5.566.9%
Fiction.LiveBenchWriting & content · Understanding long creative writing (16k tokens) 33.3% #22of 24 GPT-597.2%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 47.4% #108of 122 Gemini 4 Argon96.4%
SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people 19.9% #52of 58 Claude Fable 581.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 0.0% #92of 111 GPT-5.6 Sol32.3%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 17.5% #98of 123 Claude Sonnet 5.568.3%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 5.1% #113of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
meta-llama/llama-3.3-70b-instruct
Developer
Meta
Release date
Dec 6, 2024 ·
Context window
131,072 tokens
Max output
16,384 tokens
API price
$0.10 / $0.32 per 1M input / output tokens
Providers
48
Input types
text
Reasoning
No
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.