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GLM-5 vs MiMo-V2-Pro

GLM-5 and MiMo-V2-Pro are closely matched at 37.0 and 35.6 on the LLM Stats Score. MiMo-V2-Pro is 1.0x cheaper per token.

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

GLM-5 and MiMo-V2-Pro are closely matched on the overall LLM Stats Score at 37.0 and 35.6.

In the 2 individual benchmarks reported for both models, MiMo-V2-Pro wins 2; this is a narrower head-to-head signal than the composite indexes.

MiMo-V2-Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5

  • you need open weights you can self-host or fine-tune

Choose MiMo-V2-Pro

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Mar 2026

At a glance

The differences that matter most.

GLM-5
Zhipu AI
MiMo-V2-Pro
Xiaomi
Core performance indexes
LLM Stats Score
37.0
#77
35.6
#91
Reasoning
37.3
#74
37.4
#73
Coding
26.0
#73
25.7
#74
Agents
19.4
#71
17.1
#83
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$1.00 / M
$1.00 / M
Output price
$3.20 / M
$3.00 / M
Context window
200,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5
MiMo-V2-Pro
Tool use
17.6#77
18.3#73
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GLM-5 · 7 for MiMo-V2-Pro

2 shared

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

MiMo-V2-Pro significantly outperforms across most benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Pro costs less

For input processing, GLM-5 ($1.00/1M tokens) costs the same as MiMo-V2-Pro ($1.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.1x more expensive than MiMo-V2-Pro ($3.00/1M tokens).

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

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
Notice missing or incorrect data?

Model Size

Parameter count comparison

256.0B diff

MiMo-V2-Pro has 256.0B more parameters than GLM-5, making it 34.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Xiaomi
MiMo-V2-Pro
1.0Tparameters
744.0B
GLM-5
1000.0B
MiMo-V2-Pro

Context Window

Maximum input and output token capacity

MiMo-V2-Pro accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Fri Oct 02 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while MiMo-V2-Pro uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiMo-V2-Pro was released on 2026-03-18.

MiMo-V2-Pro is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

7 months ago

MiMo-V2-Pro

Mar 18, 2026

6 months ago

1mo 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-Pro is available from Xiaomi.

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-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-5 and MiMo-V2-Pro side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
MiMo-V2-Pro
Open in Playground

FAQ

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

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

GLM-5 and MiMo-V2-Pro are closely matched on the LLM Stats Score at 37.0 and 35.6. GLM-5 is made by Zhipu AI and MiMo-V2-Pro is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5 compare to MiMo-V2-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-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

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

Both models cost $1.00 per million input tokens.

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

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

Key differences include LLM Stats Score (37.0 vs 35.6), context window (200K vs 1.0M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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