GPT-5.4 vs MiMo-V2.5 (Comparative Analysis)
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Overview
GPT-5.4 was released 1 month before MiMo-V2.5.
GPT-5.4 | MiMo-V2.5 | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Xiaomi |
Input Context Window Maximum input tokens this model can process at once | 1.1M tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 131.1K tokens |
Release Date When this model first became publicly available | March 5, 2026 4 months ago March 5th, 2026 | April 22, 2026 2 months ago April 22nd, 2026 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.4 | MiMo-V2.5 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text🎵Audio🖼️Image🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Extra High, High, Medium, Low, NoneDefault: Medium | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5.4 is roughly 17.9x more expensive compared to MiMo-V2.5 for input tokens and roughly 53.6x more expensive for output tokens.
GPT-5.4 | MiMo-V2.5 | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $15.00 per million tokens | $0.28 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.25 per million tokens | $0.0028 per million tokens |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | $5.00 per million tokens | Not specified |
Output Token Cost Long-context output cost per million tokens | $22.50 per million tokens | Not specified |
Cache Read Cost Long-context cache read cost per million tokens | $0.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5.4 and MiMo-V2.5.
GPT-5.4 | MiMo-V2.5 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 51.4 (Artificial Analysis index; higher is better) | 37.2 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 71.1 (Artificial Analysis index; higher is better) | 56.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 41.1 (Artificial Analysis index; higher is better) | 23.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,298 Elo (#17 in Game Dev (57.8% win rate)) | 1,299 Elo (#16 in UI Component (55.4% win rate)) |
At a Glance
Quick overview of what makes GPT-5.4 and MiMo-V2.5 unique.
GPT-5.4 by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1.1M token context window. Premium pricing at $2.50/M input and $15.00/M output tokens. Includes built-in content moderation for safer outputs. Released March 5th, 2026.
MiMo-V2.5 by Xiaomi understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.14/M input and $0.28/M output tokens. Released April 22nd, 2026.Explore More Comparisons
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Compare MiMo-V2.5 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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