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MiMo-V2.5-Pro vs GLM 5.1

MiMo-V2.5-Pro

Xiaomi

76#65
vs
GLM 5.1

Zhipu AI

76#64
Signal-by-Signal Comparison
SignalMiMo-V2.5-ProDeltaGLM 5.1
Capabilities
67
--
67
Benchmarks
76
-1
76
Pricing
99
+2
97
Context window size
86
+10
76
Recency
100
--
100
Output Capacity
85
+0
85
Overall Result
3 wins
of 6
1 wins
MiMo-V2.5-Pro wins 3 of 6 signals

Score History

Score History (13 data points)
MiMo-V2.5-ProGLM 5.1
MiMo-V2.5-Pro

75.6

current score

Leader

GLM 5.1

right now

GLM 5.1

75.8

current score

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

MiMo-V2.5-Pro

Xiaomi

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

GLM 5.1

Zhipu AI

Per request$0.002484
Daily$8.28
Monthly$248.40
Annual$2980.80

MiMo-V2.5-Pro saves you $161.40/month

That's $1936.80/year compared to GLM 5.1 at your current usage level of 100K calls/month.

65% cheaper
Choose MiMo-V2.5-Pro for cost optimization

MiMo-V2.5-Pro pricing:
Input:$0.43/M tokens
Output:$0.87/M tokens
GLM 5.1 pricing:
Input:$0.97/M tokens
Output:$3.04/M tokens
MiMo-V2.5-Pro

Xiaomi

76

Composite Score

Winner
GLM 5.1

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricMiMo-V2.5-ProGLM 5.1Winner
Overall Score
76
76
GLM 5.1
Rank#65#64
GLM 5.1
Quality Rank#65#64
GLM 5.1
Adoption Rank#65#64
GLM 5.1
Parameters------
Context Window1049K203K
MiMo-V2.5-Pro
Pricing$0.43/$0.87/M$0.97/$3.04/M--
Signal Scores
Capabilities
67
67
MiMo-V2.5-Pro
Benchmarks
76
76
GLM 5.1
Pricing
99
97
MiMo-V2.5-Pro
Context window size
86
76
MiMo-V2.5-Pro
Recency
100
100
MiMo-V2.5-Pro
Output Capacity
85
85
MiMo-V2.5-Pro
Benchmark Head-to-Head(1 benchmarks)
MiMo-V2.5-Pro: 0GLM 5.1: 1
MiMo-V2.5-Pro
GLM 5.1
Normalized 0-100%
Arena Elo
14661472
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 #65), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.1Strong Performer

Scores 76/100 (rank #64), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

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

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose GLM 5.1 when you need:

  • 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-ProBest Value
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 5.1
Input cost$0.97/M tokens
Output cost$3.04/M tokens
Cost per quality point$0.053
Est. monthly (1M tokens/day)$60.03

MiMo-V2.5-Pro offers 67% better value per quality point. At 1M tokens/day, you'd spend $19.58/month with MiMo-V2.5-Pro vs $60.03/month with GLM 5.1 - a $40.45 monthly difference.

Latency & Speed
MiMo-V2.5-ProFaster
Speed score0/100
GLM 5.1
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. MiMo-V2.5-Pro also offers lower per-token costs for high-volume support

MiMo-V2.5-Pro

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

MiMo-V2.5-Pro

Batch data extraction

Lower output pricing ($0.87/M) reduces costs when processing thousands of records daily

MiMo-V2.5-Pro

Creative writing & content

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

GLM 5.1
Which Should You Choose?
Our recommendation:
GLM 5.1

MiMo-V2.5-Pro and GLM 5.1 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Xiaomi

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 67% lower pricing; better value at scale
  • 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
GLM 5.1
Recommended

by Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityMiMo-V2.5-ProGLM 5.1
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiMo-V2.5-Pro

Xiaomi

Best Value
$1.83
estimated monthly cost

GLM 5.1

Zhipu AI

$5.38
estimated monthly cost

MiMo-V2.5-Pro saves you $3.55/month

That's 66% cheaper than GLM 5.1 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 5.1
Context Window1.0M203K
Max Output Tokens131,072128,000
Open SourceYesYes
CreatedApr 22, 2026Apr 7, 2026
Last updated: 57m ago

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