Claude Opus 4.8 vs Qwen3.7 Max: pricing, Quality, Value, and benchmarks

Buyer access

Pricing, app access, and Conversation Value

• Humanity's Last Exam

  Normalized quality input

  49.8%

  Scale Labs - Humanity's Last Exam leaderboard

• AA-Omniscience

  AA-Omniscience Index

  27.4

  Artificial Analysis AA-Omniscience evaluation | Independent Artificial Analysis result for Claude Opus 4.8 (Adaptive Reasoning, Max Effort). Display-only; this row does not affect Quality or Value scores.

• SWE-Bench Pro

  Normalized quality input

  69.2%

  Anthropic Claude Opus 4.8 release page | Anthropic official launch and system-card materials. Results are vendor-reported and may use model-specific harness settings that must be compared cautiously.

• Terminal-Bench 2.1

  Agentic terminal task completion

  78.9%

  Anthropic Claude Opus 4.8 announcement | Anthropic vendor-reported Claude Opus 4.8 Terminal-Bench 2.1 result using the Terminus-2 public harness.

• Humanity's Last Exam

  Normalized quality input

  41.4%

  Alibaba Cloud Qwen3.7 launch article | Alibaba Cloud/Qwen official launch article. Treat HLE as vendor-reported evidence.

• AA-Omniscience

  AA-Omniscience Index

  14.1

  Artificial Analysis AA-Omniscience evaluation | Independent Artificial Analysis result for Qwen3.7 Max. Display-only; this row does not affect Quality or Value scores.

• SWE-Bench Pro

  Normalized quality input

  60.6%

  Alibaba Cloud Qwen3.7 launch article | Alibaba Cloud/Qwen official launch article. Treat SWE-Pro as vendor-reported evidence for SWE-Bench Pro.

• Terminal-Bench 2.0

  Agentic terminal task completion

  69.7%

  Alibaba Cloud Qwen3.7 launch article | Official Qwen/Alibaba launch material. Terminal-Bench 2.0-Terminus value is developer-reported.

Claude Opus 4.8 is Anthropic's newest Opus model, strongest for coding, agentic tasks, and complex professional work where the vendor-reported benchmark evidence applies.

Released May 28, 2026, Claude Opus 4.8 is Anthropic's current flagship and its most capable publicly available model. It is best suited to complex agentic coding, legal and financial document analysis, deep multi-step reasoning, and long-running autonomous tasks. The meaningful upgrades over 4.7 are a dramatic improvement in mathematical reasoning, meaningfully better honesty (it flags its own mistakes rather than quietly moving on), and efficiency gains that mean it uses around 35% fewer output tokens to do the same work — so you actually get a little more for your money despite the unchanged rate card. The honest caveats: it is expensive at $25 per million output tokens, which adds up fast on any high-volume or long-session workflow. On claude.ai, users now have control over the amount of effort Claude puts into a task, but Pro plan rate limits are real and noticeable if you push it hard — heavy users will hit the ceiling. It is also slower than average at inference speed, so it thinks longer before responding. For chat, summarisation, and general Q&A, Sonnet 4.6 covers 90%+ of workloads at 40% lower per-token cost — most buyers do not need Opus for everyday tasks. AnthropicFinout Bottom line: Opus 4.8 is genuinely the best model for serious, sustained, complex work. It is overkill and quietly costly for anything routine — and if you hit the rate limits on a Pro plan, the frustration will feel disproportionate to what you are paying.

Qwen3.7 Max is the optimal choice when your pipeline demands rigorous, multi-step logical deduction, complex code generation, or scientific analysis, and when cost-efficiency at scale is a primary constraint.

Qwen3.7 Max is the optimal choice when your pipeline demands rigorous, multi-step logical deduction, complex code generation, or scientific analysis, and when cost-efficiency at scale is a primary constraint.