| Signal | MiMo-V2.5 | Delta | GLM 5V Turbo |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 70 | +70 | |
Pricing | 98 | +2 | |
Context window size | 86 | +10 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 3 wins | of 6 | 0 wins |
Score History
71.7
current score
MiMo-V2.5
right now
40
current score
Xiaomi
Zhipu AI
MiMo-V2.5 saves you $180.00/month
That's $2160.00/year compared to GLM 5V Turbo at your current usage level of 100K calls/month.
| Metric | MiMo-V2.5 | GLM 5V Turbo | Winner |
|---|---|---|---|
| Overall Score | 72 | 40 | MiMo-V2.5 |
| Rank | #78 | #201 | MiMo-V2.5 |
| Quality Rank | #78 | #201 | MiMo-V2.5 |
| Adoption Rank | #78 | #201 | MiMo-V2.5 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 203K | MiMo-V2.5 |
| Pricing | $0.40/$2.00/M | $1.20/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | MiMo-V2.5 |
| Benchmarks | 70 | -- | MiMo-V2.5 |
| Pricing | 98 | 96 | MiMo-V2.5 |
| Context window size | 86 | 76 | MiMo-V2.5 |
| Recency | 100 | 100 | MiMo-V2.5 |
| 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 72/100 (rank #78), placing it in the top 73% of all 290 models tracked.
Scores 40/100 (rank #201), placing it in the top 31% of all 290 models tracked.
MiMo-V2.5 has a 32-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
MiMo-V2.5 offers 54% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with MiMo-V2.5 vs $78.00/month with GLM 5V Turbo - a $42.00 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 (72/100) 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
MiMo-V2.5 clearly outperforms GLM 5V Turbo with a significant 31.700000000000003-point lead. For most general use cases, MiMo-V2.5 is the stronger choice. However, GLM 5V Turbo may still excel in niche scenarios.
Best for Quality
MiMo-V2.5
Marginally better benchmark scores; both are excellent
Best for Cost
MiMo-V2.5
54% lower pricing; better value at scale
Best for Reliability
MiMo-V2.5
Higher uptime and faster response speeds
Best for Prototyping
MiMo-V2.5
Stronger community support and better developer experience
Best for Production
MiMo-V2.5
Wider enterprise adoption and proven at scale
by Xiaomi
| Capability | MiMo-V2.5 | GLM 5V Turbo |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Xiaomi
Zhipu AI
MiMo-V2.5 saves you $3.84/month
That's 55% cheaper than GLM 5V Turbo 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 | MiMo-V2.5 | GLM 5V Turbo |
|---|---|---|
| Context Window | 1.0M | 203K |
| Max Output Tokens | 131,072 | 131,072 |
| Open Source | Yes | No |
| Created | Apr 22, 2026 | Apr 1, 2026 |