Models

Claude Opus 4.8 vs Qwen3 Max

Compare Claude Opus 4.8 from Anthropic and Qwen3 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

AnthropicClaude Opus 4.8QwenQwen3 Max
Anthropic logo
Claude Opus 4.8
Anthropic · text, image, pdf → text

Claude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it

Input$5 /M
Output$25 /M
Cache read$0.5 /M
Qwen logo
Qwen3 Max
Qwen · text → text

The Tongyi Qianwen 3 series Max model has undergone special upgrades in intelligent agent programming and tool invocation compared to the preview version. The officially released model this time reaches SOTA level in the field and is adapted to more complex intelligent agent scenarios.

Input$0.4508 /M
Output$1.8032 /M
Cache read$0.0902 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Claude Opus 4.8
Qwen3 Max
Input /M
$5
$0.4508
Output /M
$25
$1.8032
Cache read /M
$0.5
$0.0902
Context length
1,000,000
262,144
Max output
128,000
65,536
Time to First Token
1.1 s
0.8 s
Throughput
82.6 tok/s
47.0 tok/s
Modalities
textimagepdf
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
May 28, 2026
September 23, 2025

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

Activity Past 30 Days

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

claude-opus-4-8qwen3-max

Tokens / day

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Requests / day

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Performance Past 3 Days

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

claude-opus-4-8qwen3-max

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-8qwen3-max
1360142014801540
Overall
14241473
Coding
14751527
Math
14301474
Hard prompts
14481503
Instruction following
14161477
Multi-turn
14501495
Creative writing
13941465
Longer query
14331499
Chinese
14401523
English
14341480

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 Max
$54.10 /mo
Claude Opus 4.8
$675 /mo

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

FAQ

Which is cheaper: Claude Opus 4.8, Qwen3 Max?

Qwen3 Max: $1.8032/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Opus 4.8: 1527; Qwen3 Max: 1475 (LMArena coding leaderboard).

Which responds faster?

Qwen3 Max: 0.8s time to first token 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 4.8 accepts 1,000,000 and Qwen3 Max accepts 262,144 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 65,536 tokens on Qwen3 Max.

Which one generates tokens faster?

Claude Opus 4.8 at 82.6 tok/s and Qwen3 Max at 47.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; Qwen3 Max accepts text input and supports tool calling, function calling and structured outputs.

Can I call Claude Opus 4.8 and Qwen3 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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