Claude Opus 4.8 vs Qwen3.7 Max
Claude Opus 4.8 leads the LLM Stats Score 51.7 to 46.0. Qwen3.7 Max is 5.3x cheaper per token.
Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Claude Opus 4.8 leads the overall LLM Stats Score 51.7 to 46.0, ranking #10 overall.
In the 10 individual benchmarks reported for both models, Claude Opus 4.8 wins 10; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7 Max is roughly 5.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 4.8
- overall performance matters — it scores 51.7 and ranks #10 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 10 of 10 exact shared results
- you want the most recent training data — it shipped May 2026
Choose Qwen3.7 Max
- cost matters — it's about 5.3x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Claude Opus 4.8 · 42 for Qwen3.7 Max
Claude Opus 4.8 outperforms in 10 benchmarks (Finance Agent v2, GPQA, Humanity's Last Exam, Include, LiveBench, MCP Atlas, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while Qwen3.7 Max is better at 0 benchmarks.
Claude Opus 4.8 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.8 ($5.00/1M tokens) is 4.0x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 6.7x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Claude Opus 4.8 is more expensive than Qwen3.7 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Claude Opus 4.8 can generate longer responses up to 128,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Claude Opus 4.8 supports multimodal inputs, whereas Qwen3.7 Max does not.
Claude Opus 4.8 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.8
Qwen3.7 Max
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Opus 4.8 was released on 2026-05-28, while Qwen3.7 Max was released on 2026-05-19.
Claude Opus 4.8 is 0 month newer than Qwen3.7 Max.
May 28, 2026
3 months ago
1w newerMay 19, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.8 is available from Anthropic, Vertex AI. Qwen3.7 Max is available from Novita, Together.
Claude Opus 4.8
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.8 vs Qwen3.7 Max.