Models

claude-opus-5 vs qwen3.8-max

Output tokens cost $25.00 per million on claude-opus-5 and $5.07 per million on qwen3.8-max. Input tokens cost $5.00 per million on claude-opus-5 and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.17 per million on qwen3.8-max. Context windows are 1,000,000 tokens on claude-opus-5 and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 3.5s on qwen3.8-max. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 37.1 tokens/s on qwen3.8-max. On the LMArena coding leaderboard claude-opus-5 scores 1532 and qwen3.8-max scores 1530.

Anthropicclaude-opus-5Qwenqwen3.8-max
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
Qwen
qwen3.8-max
Qwen · text → text

Qwen 3.8 Max(qwen3.8-max) is Alibaba Cloud’s flagship native vision-language model, built on a 2.4-trillion-parameter Mixture-of-Experts (MoE) architecture and supporting context windows of up to 1 million tokens. It is well suited for complex multimodal understanding, advanced reasoning, software development, agentic workflows, and long-context processing. At a similar price to Qwen3.7-Max, Qwen3.8-Max delivers significant improvements in reasoning, coding, and agent capabilities, with overall performance comparable to today’s leading models.

Input$1.69 /M
Output$5.07 /M

Specs & Pricing

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

claude-opus-5
qwen3.8-max
Input price
$5.00
$1.69
Output price
$25.00
$5.07
Cache read
$0.50
$0.17
Context window
1,000,000
991,000
Max output
128,000
128,000
Latency (first token)
1.4 s
3.5 s
Throughput
56.7 TPS
37.1 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-5qwen3.8-max

Tokens / day

-

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-5qwen3.8-max

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

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Arena Scores

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
claude-opus-5qwen3.8-max
1440150015601620
Overall
14921496
Coding
15301532
Math
15371537
Hard prompts
15181520
Instruction following
14861498
Multi-turn
14861507
Creative writing
14721493
Longer query
15061510
Chinese
15601590
English
14931503
Vision
claude-opus-5qwen3.8-max
126013001340
Overall
12951305
OCR
13051319
Diagram
13231331
Homework
13411341
WebDev Arena
claude-opus-5qwen3.8-max
1560162016801740
Overall
16681669
React
16841688
HTML
16101668
Gaming
17401750
Simulations
16671725
Data analytics
15851597

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost Calculator

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

qwen3.8-max
$177 /mo
claude-opus-5
$675 /mo

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

FAQ

Which is cheaper: claude-opus-5, qwen3.8-max?

qwen3.8-max: $5.07/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

claude-opus-5: 1532; qwen3.8-max: 1530 (LMArena coding leaderboard).

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 qwen3.8-max accepts 991,000 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 128,000 tokens on qwen3.8-max.

Which one generates tokens faster?

claude-opus-5 at 56.7 tokens/s and qwen3.8-max at 37.1 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; qwen3.8-max accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call claude-opus-5 and qwen3.8-max 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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