← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 4.5 vs Qwen3.5 397B A17B

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 4.5 and Qwen3.5 397B A17B.

Anthropic

Claude Opus 4.5

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

View Full Specs
Alibaba

Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

View Full Specs

Technical Specifications

SpecificationClaude Opus 4.5Qwen3.5 397B A17B
ProviderAnthropicAlibaba
Context Window200,000 tokens256,000 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)550 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-242026-02-16

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.5

$5.00

Qwen3.5 397B A17B

$0.39

Output Price per Million Tokens

Claude Opus 4.5

$25.00

Qwen3.5 397B A17B

$2.45

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
9280.0%vsN/A
Claude Opus 4.5
Qwen3.5 397B A17B
HumanEvalPython coding & logic synthesis
9420.0%vsN/A
Claude Opus 4.5
Qwen3.5 397B A17B
MATHComplex mathematical problem solving
8750.0%vsN/A
Claude Opus 4.5
Qwen3.5 397B A17B
GPQAGraduate-level expert reasoning
7600.0%vsN/A
Claude Opus 4.5
Qwen3.5 397B A17B
HellaSwagCommonsense reasoning and inference
9720.0%vsN/A
Claude Opus 4.5
Qwen3.5 397B A17B
MT-BenchMulti-turn conversation flow quality
955.0%vsN/A
Claude Opus 4.5
Qwen3.5 397B A17B

Claude Opus 4.5 Quirks & Gotchas

  • Deep analytical reasoning — best for structured problem-solving
  • 200K context is limiting compared to 1M of Opus 4.6+ — upgrade for long-document tasks

Qwen3.5 397B A17B Quirks & Gotchas

No developer gotchas reported.