Grok 4.3 vs MiMo-V2.5
Grok 4.3 and MiMo-V2.5 are closely matched at 22.2 and 36.1 on the LLM Stats Score. MiMo-V2.5 is 7.4x cheaper per token.
xAI · Xiaomi · Updated for 2026
Which is better?
Grok 4.3 and MiMo-V2.5 are closely matched on the overall LLM Stats Score at 22.2 and 36.1.
In the 1 individual benchmarks reported for both models, Grok 4.3 wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Grok 4.3
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped May 2026
Choose MiMo-V2.5
- cost matters — it's about 7.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Grok 4.3 · 14 for MiMo-V2.5
Grok 4.3 outperforms in 1 benchmarks (Finance Agent v2), while MiMo-V2.5 is better at 0 benchmarks.
Grok 4.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Grok 4.3 ($1.25/1M tokens) is 7.4x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, Grok 4.3 ($2.50/1M tokens) is 7.4x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, Grok 4.3 is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5 accepts 1,048,576 input tokens compared to Grok 4.3's 1,000,000 tokens. Only MiMo-V2.5 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.5 supports multimodal inputs, whereas Grok 4.3 does not.
MiMo-V2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4.3
MiMo-V2.5
License
Usage and distribution terms
Grok 4.3 is licensed under a proprietary license, while MiMo-V2.5 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Grok 4.3 was released on 2026-05-06, while MiMo-V2.5 was released on 2026-04-22.
Grok 4.3 is 0 month newer than MiMo-V2.5.
May 6, 2026
5 months ago
2w newerApr 22, 2026
5 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok 4.3 is available from xAI. MiMo-V2.5 is available from Novita, DeepInfra.
Grok 4.3
MiMo-V2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.3 and MiMo-V2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.3 vs MiMo-V2.5.