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Claude Opus 4.7 vs Seed 1.6

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 Seed 1.6.

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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ByteDance

Seed 1.6

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

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Technical Specifications

SpecificationClaude Opus 4.7Seed 1.6
ProviderAnthropicByteDance
Context Window1,000,000 tokens262,144 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-12-23

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Seed 1.6

$0.25

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Seed 1.6

$2.00

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
Seed 1.6
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
Seed 1.6
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
Seed 1.6
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
Seed 1.6
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
Seed 1.6
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
Seed 1.6

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

Seed 1.6 Quirks & Gotchas

No developer gotchas reported.