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Claude Opus 4.6 vs Qwen3.8 Max

Qwen3.8 Max: 79.3% average across five Vision Evals tasks (#9 of 65 models). We have not run Claude Opus 4.6 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.

Compare Claude Opus 4.6 vs Qwen3.8 Max live

Run the same image across every model that supports a task and compare their outputs side-by-side.

Detect and compare bounding boxes across models on the same image.

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AnthropicClaude Opus 4.6
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QwenQwen3.8 Max
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Claude Opus 4.6 vs Qwen3.8 Max Comparison Table

Evals updated October 26, 2026Pricing updated November 3, 2026

PropertyClaude Opus 4.6 Qwen3.8 Max
OrganizationAnthropicQwen
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateFeb 2026Aug 2026
Context Window1.0M984K
ParametersUnknown2.4T total, ~95B active
LicenseProprietaryApache 2.0
Commercial usecommercial use per vendor termsfree for commercial use
Pricing per 1M tokens
Input $/1M$5.00No published price
Output $/1M$25.00No published price
Vision Tasks
Both support 10 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
OverallNot evaluated
79.3%
Avg cost / sample–$0.0080
Avg speed / sample–18.95s
By task
Object Detection (low)–
76.7%
±0.3, Mean of 3 runs, range 76.5 to 77.1
$0.012
Object Detection (high)–
78.4%
±0.4, Mean of 3 runs, range 78.1 to 78.9
$0.030
Counting (low)–
81.1%
±2.0, Mean of 3 runs, range 78.4 to 82.4
$0.0046
Counting (high)–
81.1%
±0.0, Mean of 3 runs, range 81.1 to 81.1
$0.0091
Identification (low)–
88.5%
±1.6, Mean of 3 runs, range 87.5 to 90.6
$0.0027
Identification (high)–
89.6%
±1.6, Mean of 3 runs, range 87.5 to 90.6
$0.0037
OCR (low)–
74.0%
$0.0077
by category
Single value
63.9%
Transcription
95.2%
Structured JSON
85.4%
Text localization
59.0%
OCR (high)–
71.8%
$0.028
by category
Single value
61.7%
Transcription
94.8%
Structured JSON
81.6%
Text localization
59.6%
Reasoning (low)–
75.9%
±2.0, Mean of 3 runs, range 73.5 to 77.5
$0.0048
Reasoning (high)–
80.3%
±2.0, Mean of 3 runs, range 78.2 to 82.1
$0.011

Claude Opus 4.6 vs Qwen3.8 Max: Overview

Claude Opus 4.6

Claude Opus 4.6 is the flagship large language model from Anthropic, released on 2026-02-05 for advanced reasoning, complex coding, and enterprise agent workflows. It supports text and image inputs via API, offers a 200K-token standard context window with a 1M-token beta option, and enables outputs up to 128K tokens, with adaptive reasoning and context compaction for sustained tasks.

As of 2026-02-17, Anthropic also released Claude Sonnet 4.6, extending the 1M-token context window to a broader tier. Opus remains positioned for maximum depth and benchmark performance, while Sonnet 4.6 brings long-context capability to more cost- and latency-sensitive production use cases.

Qwen3.8 Max

Qwen3.8 Max is the flagship tier of Alibaba's Qwen3.8 family, a sparse mixture-of-experts multimodal model with roughly 2.4 trillion total parameters of which about 95 billion activate per token, which keeps serving cost and latency well below what the total parameter count would imply. It builds on the architectural foundation established by Qwen3.5 and accepts text, images, video, and documents as input while producing text output. Reported context handling reaches close to one million tokens, with a maximum generation length of 131,072 tokens, so the model is aimed at long-horizon agentic work such as repository-scale coding, multi-step research, data analysis, and office document workflows.

For vision work the model performs image and video understanding, document and chart interpretation, text recognition inside images, and grounded visual question answering, and Alibaba reports gains concentrated in multimodal and agentic evaluation categories rather than general reasoning. It is the first model in the Max tier of the Qwen line for which the team states weights will be released publicly, alongside a smaller Qwen3.8 27B checkpoint. No training or safety model card has been published.

Frequently Asked Questions

Claude Opus 4.6 is released under Proprietary, while Qwen3.8 Max uses Apache 2.0. In practice: Claude Opus 4.6 : commercial use per vendor terms; Qwen3.8 Max: free for commercial use. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.

Yes. The comparison demo on this page runs both models on the same image side by side for open prompts and OCR in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.