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Claude Opus 4.7 vs Llama 3.1 8B 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 4.7 and Llama 3.1 8B Instruct.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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Meta

Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

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Technical Specifications

SpecificationClaude Opus 4.7Llama 3.1 8B Instruct
ProviderAnthropicMeta
Context Window1,000,000 tokens131,072 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162024-07-23

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Llama 3.1 8B Instruct

$0.02

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Llama 3.1 8B Instruct

$0.03

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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
9410.0%vsN/A
Claude Opus 4.7
Llama 3.1 8B Instruct
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
Llama 3.1 8B Instruct
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
Llama 3.1 8B Instruct
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
Llama 3.1 8B Instruct
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
Llama 3.1 8B Instruct
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
Llama 3.1 8B Instruct

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

Llama 3.1 8B Instruct Quirks & Gotchas

No developer gotchas reported.