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MiMo-V2.5-Pro vs GLM 5.2 (free)

MiMo-V2.5-Pro

Xiaomi

76#118
vs
GLM 5.2 (free)

Zhipu AI

76#120
Signal-by-Signal Comparison
SignalMiMo-V2.5-ProDeltaGLM 5.2 (free)
Capabilities
67
+33
33
Benchmarks
76
-5
81
Pricing
99
-1
100
Context window size
96
+24
72
Recency
100
--
100
Output Capacity
82
+10
72
Overall Result
3 wins
of 6
2 wins
MiMo-V2.5-Pro wins 3 of 6 signals

Score History

Score History (23 data points)
MiMo-V2.5-ProGLM 5.2 (free)
MiMo-V2.5-Pro

76.2

current score

Leader

MiMo-V2.5-Pro

right now

GLM 5.2 (free)

75.7

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

MiMo-V2.5-Pro

Xiaomi

Per request$0.000870
Daily$2.90
Monthly$87.00
Annual$1044.00

GLM 5.2 (free)

Zhipu AI

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

GLM 5.2 (free) saves you $87.00/month

That's $1044.00/year compared to MiMo-V2.5-Pro at your current usage level of 100K calls/month.

100% cheaper
Choose GLM 5.2 (free) for cost optimization

MiMo-V2.5-Pro pricing:
Input:$0.43/M tokens
Output:$0.87/M tokens
GLM 5.2 (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
MiMo-V2.5-Pro

Xiaomi

76

Composite Score

GLM 5.2 (free)

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricMiMo-V2.5-ProGLM 5.2 (free)Winner
Overall Score
76
76
MiMo-V2.5-Pro
Rank#118#120
MiMo-V2.5-Pro
Quality Rank#118#120
MiMo-V2.5-Pro
Adoption Rank#118#120
MiMo-V2.5-Pro
Parameters------
Context Window1050K33K
MiMo-V2.5-Pro
Pricing$0.43/$0.87/MFree--
Signal Scores
Capabilities
67
33
MiMo-V2.5-Pro
Benchmarks
76
81
GLM 5.2 (free)
Pricing
99
100
GLM 5.2 (free)
Context window size
96
72
MiMo-V2.5-Pro
Recency
100
100
MiMo-V2.5-Pro
Output Capacity
82
72
MiMo-V2.5-Pro
Benchmark Head-to-Head(2 benchmarks)
MiMo-V2.5-Pro: 1GLM 5.2: 0
MiMo-V2.5-Pro
GLM 5.2
Normalized 0-100%
MMLU-Pro
-86%
Arena Elo
14671458
Benchmark Interpretation

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.

MiMo-V2.5-ProStrong Performer

Scores 76/100 (rank #118), placing it in the top 60% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2 (free)Strong Performer

Scores 76/100 (rank #120), placing it in the top 59% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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.

When to Use Each Model

Choose MiMo-V2.5-Pro when you need:

  • Processing long documents or large codebases (1050K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose GLM 5.2 (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
MiMo-V2.5-Pro
Input cost$0.43/M tokens
Output cost$0.87/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$19.58
GLM 5.2 (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
MiMo-V2.5-ProFaster
Speed score0/100
GLM 5.2 (free)
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

MiMo-V2.5-Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.2 (free) also offers lower per-token costs for high-volume support

MiMo-V2.5-Pro

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

MiMo-V2.5-Pro

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

GLM 5.2 (free)

Creative writing & content

Higher overall composite score (76/100) correlates with better nuance, coherence, and style in long-form content

MiMo-V2.5-Pro
Which Should You Choose?
Our recommendation:
MiMo-V2.5-Pro

MiMo-V2.5-Pro and GLM 5.2 (free) are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

MiMo-V2.5-Pro
Recommended

by Xiaomi

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Zhipu AI

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityMiMo-V2.5-ProGLM 5.2 (free)
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiMo-V2.5-Pro

Xiaomi

$1.83
estimated monthly cost

GLM 5.2 (free)

Zhipu AI

Best Value
$0.000000
estimated monthly cost

GLM 5.2 (free) saves you $1.83/month

That's 100% cheaper than MiMo-V2.5-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.

Parameters & Context
ParameterMiMo-V2.5-ProGLM 5.2 (free)
Context Window1.1M33K
Max Output Tokens131,07229,491
Open SourceYesYes
CreatedApr 22, 2026Jun 16, 2026
Last updated: 3m ago

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MiMo-V2.5-Pro vs GLM 5.2 (free) (2026) | LM Market Cap