| Signal | MiMo-V2-Pro | Delta | GLM 5 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 73 | -1 | |
Pricing | 3 | +1 | |
Context window size | 96 | +18 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 2 wins | of 6 | 1 wins |
7
days higher
2
days
21
days higher
Xiaomi
Zhipu AI
GLM 5 saves you $63.00/month
That's $756.00/year compared to MiMo-V2-Pro at your current usage level of 100K calls/month.
| Metric | MiMo-V2-Pro | GLM 5 | Winner |
|---|---|---|---|
| Overall Score | 74 | 74 | GLM 5 |
| Rank | #49 | #48 | GLM 5 |
| Quality Rank | #49 | #48 | GLM 5 |
| Adoption Rank | #49 | #48 | GLM 5 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 80K | MiMo-V2-Pro |
| Pricing | $1.00/$3.00/M | $0.72/$2.30/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | MiMo-V2-Pro |
| Benchmarks | 73 | 74 | GLM 5 |
| Pricing | 3 | 2 | MiMo-V2-Pro |
| Context window size | 96 | 78 | MiMo-V2-Pro |
| Recency | 100 | 100 | MiMo-V2-Pro |
| Output Capacity | 85 | 85 | MiMo-V2-Pro |
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%). Here's what the scores mean for these two models:
Scores 74/100 (rank #49), placing it in the top 83% of all 290 models tracked.
Scores 74/100 (rank #48), placing it in the top 84% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
GLM 5 offers 25% better value per quality point. At 1M tokens/day, you'd spend $45.30/month with GLM 5 vs $60.00/month with MiMo-V2-Pro - a $14.70 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GLM 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 ($2.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content
MiMo-V2-Pro and GLM 5 are extremely close in overall performance (only 0.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
MiMo-V2-Pro
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 5
25% lower pricing; better value at scale
Best for Reliability
MiMo-V2-Pro
Higher uptime and faster response speeds
Best for Prototyping
MiMo-V2-Pro
Stronger community support and better developer experience
Best for Production
MiMo-V2-Pro
Wider enterprise adoption and proven at scale
by Xiaomi
| Capability | MiMo-V2-Pro | GLM 5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Xiaomi
Zhipu AI
GLM 5 saves you $1.34/month
That's 25% cheaper than MiMo-V2-Pro 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-Pro | GLM 5 |
|---|---|---|
| Context Window | 1.0M | 80K |
| Max Output Tokens | 131,072 | 131,072 |
| Open Source | No | Yes |
| Created | Mar 18, 2026 | Feb 11, 2026 |
GLM 5 scores 74/100 (rank #48) compared to MiMo-V2-Pro's 74/100 (rank #49), giving it a 0-point advantage. GLM 5 is the stronger overall choice, though MiMo-V2-Pro may excel in specific areas like certain benchmarks.
MiMo-V2-Pro is ranked #49 and GLM 5 is ranked #48 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GLM 5 is cheaper at $2.30/M output tokens vs MiMo-V2-Pro's $3.00/M output tokens - 1.3x more expensive. Input token pricing: MiMo-V2-Pro at $1.00/M vs GLM 5 at $0.72/M.
MiMo-V2-Pro has a larger context window of 1,048,576 tokens compared to GLM 5's 80,000 tokens. A larger context window means the model can process longer documents and conversations.