| Signal | Claude Sonnet 4.6 | Delta | MiMo-V2.5 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 82 | +12 | |
Pricing | 85 | -13 | |
Context window size | 86 | 0 | |
Recency | 100 | -- | |
Output Capacity | 85 | 0 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
84.7
current score
Claude Sonnet 4.6
right now
71.7
current score
Anthropic
Xiaomi
MiMo-V2.5 saves you $910.00/month
That's $10920.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.6 | MiMo-V2.5 | Winner |
|---|---|---|---|
| Overall Score | 85 | 72 | Claude Sonnet 4.6 |
| Rank | #31 | #78 | Claude Sonnet 4.6 |
| Quality Rank | #31 | #78 | Claude Sonnet 4.6 |
| Adoption Rank | #31 | #78 | Claude Sonnet 4.6 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1049K | MiMo-V2.5 |
| Pricing | $3.00/$15.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Sonnet 4.6 |
| Benchmarks | 82 | 70 | Claude Sonnet 4.6 |
| Pricing | 85 | 98 | MiMo-V2.5 |
| Context window size | 86 | 86 | MiMo-V2.5 |
| Recency | 100 | 100 | Claude Sonnet 4.6 |
| Output Capacity | 85 | 85 | MiMo-V2.5 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 85/100 (rank #31), placing it in the top 90% of all 290 models tracked.
Scores 72/100 (rank #78), placing it in the top 73% of all 290 models tracked.
Claude Sonnet 4.6 has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
MiMo-V2.5 offers 87% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with MiMo-V2.5 vs $270.00/month with Claude Sonnet 4.6 - a $234.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. MiMo-V2.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Claude Sonnet 4.6 clearly outperforms MiMo-V2.5 with a significant 13-point lead. For most general use cases, Claude Sonnet 4.6 is the stronger choice. However, MiMo-V2.5 may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
MiMo-V2.5
87% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.6
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.6 | MiMo-V2.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Xiaomi
MiMo-V2.5 saves you $20.28/month
That's 87% cheaper than Claude Sonnet 4.6 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Claude Sonnet 4.6 | MiMo-V2.5 |
|---|---|---|
| Context Window | 1M | 1.0M |
| Max Output Tokens | 128,000 | 131,072 |
| Open Source | No | Yes |
| Created | Feb 17, 2026 | Apr 22, 2026 |
The 4-point score gap (66 vs 62) represents a 6% performance difference that can be crucial for production coding tasks, where Claude's #9 rank puts it in the top 3% of all models versus MiMo's #29 position. Additionally, Claude's web search capability enables real-time API documentation lookup and dependency checking that MiMo lacks, making it worth the $15/M output cost for teams building complex systems that require current information.
Despite MiMo's broader input modalities, Claude Sonnet 4.6's specialized text+image focus aligns with 95% of coding workflows (documentation, diagrams, screenshots), while delivering superior performance at rank #9. The $3/M input pricing means processing a full 1M token codebase costs only $3 on Claude versus $0.40 on MiMo, a negligible difference when the output quality gap could save hours of debugging time.
MiMo's open source nature allows on-premise deployment and fine-tuning, critical for enterprises with strict data policies, while matching Claude's massive 128K output capacity (MiMo actually edges ahead at 131K). However, Claude's proprietary optimizations contribute to its 20-position ranking advantage, suggesting that teams needing maximum performance should budget for the $15/M output cost rather than self-hosting MiMo.
Monthly costs would be $66 for Claude ($21 input + $45 output) versus $8.80 for MiMo ($2.80 input + $6 output), a 7.5x difference matching the output price ratio. The $57.20 monthly savings with MiMo buys you a 6% performance drop (score 62 vs 66) and loss of web search, making MiMo the pragmatic choice for startups unless real-time documentation access is critical.
Claude's focused approach (text+image+file only) and web search integration create a specialized coding assistant that outperforms MiMo's generalist architecture by 4 points (66 vs 62). The $12/M output premium over MiMo reflects Anthropic's optimization specifically for code generation quality, while Xiaomi's $2/M pricing and open source approach prioritizes accessibility over peak performance.