Model Comparison

GLM-5 vs MiMo-V2.5-ProWhich is better in 2026?

MiMo-V2.5-Pro significantly outperforms across most benchmarks. MiMo-V2.5-Pro is 2.9x cheaper per token.

Verdict: GLM-5 vs MiMo-V2.5-Pro — which is better?

GLM-5 (by Zhipu AI) and MiMo-V2.5-Pro (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-5 outperforms in 0 benchmarks, while MiMo-V2.5-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0). MiMo-V2.5-Pro significantly outperforms across most benchmarks.

On price, MiMo-V2.5-Pro is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want predictable pricing at $1.00/M input and $3.20/M output

Choose MiMo-V2.5-Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 2.9x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Apr 2026
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 0 benchmarks, while MiMo-V2.5-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).

MiMo-V2.5-Pro significantly outperforms across most benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5-Pro costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.3x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 3.7x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).

In conclusion, GLM-5 is more expensive than MiMo-V2.5-Pro.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jun 10 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Xiaomi
MiMo-V2.5-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

279.2B diff

MiMo-V2.5-Pro has 279.2B more parameters than GLM-5, making it 37.5% larger.

Zhipu AI
GLM-5
744.0Bparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
744.0B
GLM-5
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Wed Jun 10 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5

MIT

Open weights

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiMo-V2.5-Pro was released on 2026-04-27.

MiMo-V2.5-Pro is 3 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

MiMo-V2.5-Pro

Apr 27, 2026

1 months ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from FriendliAI, ZAI. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

MiMo-V2.5-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI

No standout differentiators in the data we have for this pair.

Xiaomi
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Higher SWE-Bench Verified score (78.9% vs 77.8%)
Higher Terminal-Bench 2.0 score (68.4% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Xiaomi
MiMo-V2.5-Pro

FAQ

Common questions about GLM-5 vs MiMo-V2.5-Pro.

Which is better, GLM-5 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiMo-V2.5-Pro is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to MiMo-V2.5-Pro in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. MiMo-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

Is GLM-5 cheaper than MiMo-V2.5-Pro?

MiMo-V2.5-Pro is 2.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. MiMo-V2.5-Pro costs $0.43/M input and $0.87/M output via xiaomi.

What are the context window sizes for GLM-5 and MiMo-V2.5-Pro?

GLM-5 supports 200K tokens and MiMo-V2.5-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and MiMo-V2.5-Pro?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.43/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and MiMo-V2.5-Pro?

GLM-5 is developed by Zhipu AI and MiMo-V2.5-Pro is developed by Xiaomi.

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