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Claude Opus 4 vs MiMo V2.6 Flash

MiMo V2.6 Flash: 49.2% average across five Vision Evals tasks (#57 of 65 models). Claude Opus 4 is deprecated and was not run through Roboflow's Vision Evals, so there is no head-to-head score.

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AnthropicClaude Opus 4

Claude Opus 4 is deprecated and can no longer be run. Details and evals are still available on its model page.

MiMo V2.6 Flash
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Claude Opus 4 vs MiMo V2.6 Flash Comparison Table

Evals updated October 26, 2026Pricing updated November 6, 2026

PropertyClaude Opus 4MiMo V2.6 Flash
OrganizationAnthropicXiaomi
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateMay 2025Sep 2026
Context Window200K1.0M
ParametersUnknown309B total, 15B active
LicenseProprietaryMIT
Commercial usecommercial use per vendor termsfree for commercial use
Pricing per 1M tokens
Input $/1MNo published price$0.140
Output $/1MNo published price$0.280
Vision Tasks
CaptioningSupportedDemo
ClassificationSupportedDemo
Object DetectionSupportedDemo
OCRSupportedDemo
Visual Question AnsweringSupportedDemo
Both support 5 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
OverallDeprecated
49.2%
Avg cost / sample–$0.0003
Avg speed / sample–16.34s
By task
Object Detection (low)–
37.8%
±1.1, Mean of 3 runs, range 36.4 to 38.7
$0.0004
Object Detection (high)–
45.0%
±2.5, Mean of 3 runs, range 42.2 to 47.1
$0.0009
Counting (low)–
49.5%
±8.1, Mean of 3 runs, range 41.9 to 58.1
$0.0002
Counting (high)–
64.9%
±1.4, Mean of 3 runs, range 63.5 to 66.2
$0.0003
Identification (low)–
76.0%
±3.1, Mean of 3 runs, range 71.9 to 78.1
$0.0001
Identification (high)–
82.3%
±4.7, Mean of 3 runs, range 78.1 to 87.5
$0.0003
OCR (low)–
49.7%
$0.0004
by category
Single value
41.7%
Transcription
72.5%
Structured JSON
68.6%
Text localization
9.2%
OCR (high)–
50.4%
$0.0012
by category
Single value
42.2%
Transcription
68.9%
Structured JSON
69.2%
Text localization
13.2%
Reasoning (low)–
33.1%
±2.0, Mean of 3 runs, range 31.1 to 35.1
$0.0002
Reasoning (high)–
58.5%
±1.3, Mean of 3 runs, range 57.0 to 59.6
$0.0008

Claude Opus 4 vs MiMo V2.6 Flash: Overview

Claude Opus 4

Claude 4 Opus, released by Anthropic in May 2025, is the flagship model of the Claude 4 family, built for complex, long-horizon reasoning and advanced coding workflows. It is multimodal, supporting text (including voice), images, and tool use, and operates as a hybrid reasoning model—able to deliver quick answers in fast mode or switch to extended thinking for deeper, multi-step problem solving. With a ~200,000-token context window and a training cutoff around March 2025, it is optimized for handling large documents, long conversations, and sophisticated agentic tasks.

It is best suited for research, enterprise automation, and software development at scale. The model is classified at Anthropic’s ASL-3 safety level, denoting advanced oversight and safety features.

MiMo V2.6 Flash

MiMo-V2.6-Flash is the efficiency-oriented checkpoint of Xiaomi's MiMo-V2.6 series, a natively omnimodal foundation model that accepts text, image, video, and audio in a single model and supports a one million token context window. The language backbone is a sparse mixture-of-experts transformer with roughly 309 billion total parameters and 15 billion activated per token, organized as 48 layers with 256 routed experts and top-8 routing. It uses a hybrid attention scheme that interleaves sliding window attention with global attention layers to cut key-value cache cost on long sequences, and pairs the backbone with a vision encoder, an audio encoder, and an audio tokenizer, plus a multi-token prediction module and a draft model for faster decoding.

Training emphasizes large scale reinforcement learning on verifiable, long-horizon tasks, with RL compute, environment diversity, and grader compute scaled together in a single mixed run.

Frequently Asked Questions

Claude Opus 4 is released under Proprietary, while MiMo V2.6 Flash uses MIT. In practice: Claude Opus 4: commercial use per vendor terms; MiMo V2.6 Flash: 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 image captioning and OCR in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.