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Claude Opus 5 vs Llama 3.3 70B Instruct

Detailed technical comparison between Claude Opus 5 (Anthropic) and Llama 3.3 70B Instruct (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Claude Opus 5: 0 WinsvsLlama 3.3 70B Instruct: 6 Wins
Context Leader

Claude Opus 5

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Anthropicactive

Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

View Claude Opus 5 Full Specs →
Metaactive

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...

View Llama 3.3 70B Instruct Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationClaude Opus 5Llama 3.3 70B Instruct
ProviderAnthropicMeta
Context Window1,000,000 tokens🏆131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-242024-12-06

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 5

$5.00

Llama 3.3 70B Instruct

$0.13

Output Price per Million Tokens

Claude Opus 5

$25.00

Llama 3.3 70B Instruct

$0.40

💡 Cost Ratio: Llama 3.3 70B Instruct is 38.5x cheaper per input token than Claude Opus 5.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.2%vs87.0%+5.8% Llama 3.3 70B Instruct
Claude Opus 5
Llama 3.3 70B Instruct 🏆
HumanEvalPython coding & logic synthesis
79.4%vs86.2%+6.8% Llama 3.3 70B Instruct
Claude Opus 5
Llama 3.3 70B Instruct 🏆
MATHComplex mathematical problem solving
56.6%vs67.4%+10.8% Llama 3.3 70B Instruct
Claude Opus 5
Llama 3.3 70B Instruct 🏆
GPQAGraduate-level expert reasoning
38.6%vs48.8%+10.2% Llama 3.3 70B Instruct
Claude Opus 5
Llama 3.3 70B Instruct 🏆
HellaSwagCommonsense reasoning and inference
80.8%vs88.0%+7.2% Llama 3.3 70B Instruct
Claude Opus 5
Llama 3.3 70B Instruct 🏆
MT-BenchMulti-turn conversation flow quality
8.3%vs9.1%+0.7% Llama 3.3 70B Instruct
Claude Opus 5
Llama 3.3 70B Instruct 🏆

Claude Opus 5 Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

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