Model Comparison

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

MiMo-V2.5 significantly outperforms across most benchmarks. MiMo-V2.5 is 7.4x cheaper per token.

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

GLM-5 (by Zhipu AI) and MiMo-V2.5 (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 is better at 1 benchmark (Terminal-Bench 2.0). MiMo-V2.5 significantly outperforms across most benchmarks.

On price, MiMo-V2.5 is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.5 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 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 7.4x 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

1 benchmarks

GLM-5 outperforms in 0 benchmarks, while MiMo-V2.5 is better at 1 benchmark (Terminal-Bench 2.0).

MiMo-V2.5 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 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 6.0x more expensive than MiMo-V2.5 ($0.17/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 9.5x more expensive than MiMo-V2.5 ($0.34/1M tokens).

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

* 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
Input tokens$0.17
Output tokens$0.34
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

433.2B diff

GLM-5 has 433.2B more parameters than MiMo-V2.5, making it 139.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Xiaomi
MiMo-V2.5
310.8Bparameters
744.0B
GLM-5
310.8B
MiMo-V2.5

Context Window

Maximum input and output token capacity

MiMo-V2.5 accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. MiMo-V2.5 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
Input1,048,576 tokens
Output131,072 tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiMo-V2.5 supports multimodal inputs, whereas GLM-5 does not.

MiMo-V2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

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

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiMo-V2.5 was released on 2026-04-22.

MiMo-V2.5 is 2 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

MiMo-V2.5

Apr 22, 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 is available from Novita, DeepInfra.

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

novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.34/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* 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)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher Terminal-Bench 2.0 score (65.8% vs 56.2%)

Detailed Comparison

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

FAQ

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

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

MiMo-V2.5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiMo-V2.5 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 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 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

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

MiMo-V2.5 is 6.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. MiMo-V2.5 costs $0.17/M input and $0.34/M output via novita.

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

GLM-5 supports 200K tokens and MiMo-V2.5 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?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.17/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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

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

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