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Claude Opus 4.6 vs Hy3

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 4.6 and Hy3.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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Tencent

Hy3

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

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Technical Specifications

SpecificationClaude Opus 4.6Hy3
ProviderAnthropicTencent
Context Window1,000,000 tokens262,144 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042026-07-06

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Hy3

$0.20

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Hy3

$0.80

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
9250.0%vsN/A
Claude Opus 4.6
Hy3
HumanEvalPython coding & logic synthesis
9450.0%vsN/A
Claude Opus 4.6
Hy3
MATHComplex mathematical problem solving
8890.0%vsN/A
Claude Opus 4.6
Hy3
GPQAGraduate-level expert reasoning
7980.0%vsN/A
Claude Opus 4.6
Hy3
HellaSwagCommonsense reasoning and inference
9750.0%vsN/A
Claude Opus 4.6
Hy3
MT-BenchMulti-turn conversation flow quality
965.0%vsN/A
Claude Opus 4.6
Hy3

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

Hy3 Quirks & Gotchas

No developer gotchas reported.