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claude-opus-5 vs qwen3.7-flash

Output tokens cost $25.00 per million on claude-opus-5 and $1.13 per million on qwen3.7-flash. Input tokens cost $5.00 per million on claude-opus-5 and $0.28 per million on qwen3.7-flash. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.06 per million on qwen3.7-flash. Context windows are 1,000,000 tokens on claude-opus-5 and 991,000 tokens on qwen3.7-flash. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 2.1s on qwen3.7-flash. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 104.1 tokens/s on qwen3.7-flash.

Anthropicclaude-opus-5Qwenqwen3.7-flash
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Anthropic
claude-opus-5
Anthropic · text, image → text

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 of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Input$5.00 /M
Output$25.00 /M
Details
Qwen
qwen3.7-flash
Qwen · text → text

The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.

Input$0.28 /M
Output$1.13 /M
Details

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

claude-opus-5
qwen3.7-flash
Input price
$5.00
$0.28
Output price
$25.00
$1.13
Cache read
$0.50
$0.06
Context window
1,000,000
991,000
Max output
128,000
64,000
Latency (first token)
1.4 s
2.1 s
Throughput
56.7 TPS
104.1 TPS
Modalities
textimage
text
Features
thinkingtoolsstructured outputslong contextweb
toolsfunction callingstructured outputsweblong contextthinking
Endpoints
chat_completions · claude_api · responses

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

claude-opus-5qwen3.7-flash

Tokens / day

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Requests / day

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Live Performance last 3 days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

claude-opus-5qwen3.7-flash

Throughput (TPS)

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Latency (s)

-

Uptime (%)

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Cost Calculator

Estimate your monthly bill for the same workload on each model.

qwen3.7-flash
$33.84 /mo
claude-opus-5
$675 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: claude-opus-5, qwen3.7-flash?

qwen3.7-flash: $1.13/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

claude-opus-5: 1.4s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

claude-opus-5 accepts 1,000,000 and qwen3.7-flash accepts 991,000 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 64,000 tokens on qwen3.7-flash.

Which one generates tokens faster?

qwen3.7-flash at 104.1 tokens/s and claude-opus-5 at 56.7 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

claude-opus-5 accepts text and image input and supports thinking, tool calling, structured outputs, long context and web search; qwen3.7-flash accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call claude-opus-5 and qwen3.7-flash with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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