Meta

Llama 3.3 70B Instruct

Tool callingStructured output
Llama 3.3 70B Instruct model card cover

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

Context
131K
Released
1y ago
Parameters
70B
Input / 1M tokens
$0.59
Output / 1M tokens
$0.79
Cached input / 1M tokens
$0.30

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
GPQA diamond
47.4%
Epoch AI · Llama-3.3-70B-Instruct
Epoch AI evaluation
OTIS Mock AIME 2024-2025
5.1%
Epoch AI · Llama-3.3-70B-Instruct
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Developer
Meta
Model family
Llama
Type
Language model
Predecessor
—
Successor
—
Released
December 6, 2024
Model ID
meta-llama/llama-3.3-70b-instruct
Openness
Open weights
License
—
Parameters
70B
Input modalities
text
Output modalities
text
Modality
text->text
Native context
128K
Tokenizer
Llama3
Max output tokens
33K
Knowledge cutoff
2023-12
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC

Open-weight builds

Ollama variants

Every published Ollama tag matched to this model, including parameter editions, instruction/base variants, and quantized builds.

12 builds
VariantParametersTypeQuantizationSizeContextInput
llama3.3:70b-instruct-fp1670BinstructFP16141 GB128Ktext
llama3.3:70b-instruct-q2_K70BinstructQ2_K26 GB128Ktext
llama3.3:70b-instruct-q3_K_M70BinstructQ3_K_M34 GB128Ktext
llama3.3:70b-instruct-q3_K_S70BinstructQ3_K_S31 GB128Ktext
llama3.3:70b-instruct-q4_070BinstructQ4_040 GB128Ktext
llama3.3:latest70BinstructQ4_K_M43 GB128Ktext
llama3.3:70b-instruct-q4_K_S70BinstructQ4_K_S40 GB128Ktext
llama3.3:70b-instruct-q5_070BinstructQ5_049 GB128Ktext
llama3.3:70b-instruct-q5_170BinstructQ5_153 GB128Ktext
llama3.3:70b-instruct-q5_K_M70BinstructQ5_K_M50 GB128Ktext
llama3.3:70b-instruct-q6_K70BinstructQ6_K58 GB128Ktext
llama3.3:70b-instruct-q8_070BinstructQ8_075 GB128Ktext
Additional source evidence
Source model
meta/llama-3.3-70b-instruct
Source family
llama
Last updated
2024-12-06
Knowledge cutoff
2023-12
Model context
128K
Model output limit
4K
Open weights
Yes
File attachments
No
Reasoning
No
Tool calling
Yes
Temperature control
Yes

Downloadable weights

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Artificial Analysis Coding Index10.7 · index2026-03-11Source
SciCode26 · percent correct2026-03-11Source
Terminal-Bench Hard3 · success rate2026-03-11Source
Complete source record (JSON)
{
  "id": "meta/llama-3.3-70b-instruct",
  "name": "Llama-3.3-70B-Instruct",
  "description": "Popular open Llama workhorse for multilingual chat, coding, and self-hosting",
  "family": "llama",
  "last_updated": "2024-12-06",
  "knowledge": "2023-12",
  "attachment": false,
  "reasoning": false,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 128000,
    "output": 4096
  },
  "benchmarks": [
    {
      "name": "Artificial Analysis Coding Index",
      "score": 10.7,
      "source": "https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/benchmarks",
      "metric": "index",
      "date": "2026-03-11"
    },
    {
      "name": "SciCode",
      "score": 26,
      "source": "https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/benchmarks",
      "metric": "percent correct",
      "date": "2026-03-11"
    },
    {
      "name": "Terminal-Bench Hard",
      "score": 3,
      "source": "https://openrouter.ai/meta-llama/llama-3.3-70b-instruct/benchmarks",
      "metric": "success rate",
      "date": "2026-03-11"
    }
  ],
  "release_date": "2024-12-06",
  "open_weights": true,
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct"
    }
  ]
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
DeepInfradeepinfra/turbo131K$0.10$0.32——96.81%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Novitanovita/bf1612K$0.14$0.40——96.81%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AkashMLakashml/fp8131K$0.20$0.52$0.10—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Parasailparasail/fp8131K$0.22$0.50$0.11—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Cloudflarecloudflare/fp824K$0.29$2.25——98.24%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

SambaNovasambanova-turbo131K$0.45$0.90——99.93%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Groqgroq131K$0.59$0.79$0.30—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

CoreWeavecoreweave/fp16128K$0.71$0.71$0.71—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us-central1128K$0.72$0.72———
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex128K$0.72$0.72———
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Togethertogether131K$1.04$1.04——95.67%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

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