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Claude Opus 4 vs Llama 3.3 70B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4 and Llama 3.3 70B Instruct.

Anthropic

Claude Opus 4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

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Meta

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...

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Technical Specifications

SpecificationClaude Opus 4Llama 3.3 70B Instruct
ProviderAnthropicMeta
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-05-222024-12-06

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4

$15.00

Llama 3.3 70B Instruct

$0.10

Output Price per Million Tokens

Claude Opus 4

$75.00

Llama 3.3 70B Instruct

$0.32

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9050.0%vsN/A
Claude Opus 4
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
9300.0%vsN/A
Claude Opus 4
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
8540.0%vsN/A
Claude Opus 4
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
7230.0%vsN/A
Claude Opus 4
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
9650.0%vsN/A
Claude Opus 4
Llama 3.3 70B Instruct
MT-BenchMulti-turn conversation flow quality
945.0%vsN/A
Claude Opus 4
Llama 3.3 70B Instruct

Claude Opus 4 Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.