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GPT-5.4 nano vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 26.6. MiMo-V2.6-Flash is 2.6x cheaper per token.

OpenAI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 26.6, ranking #31 overall.

In the 1 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, MiMo-V2.6-Flash is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.6-Flash 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 GPT-5.4 nano

  • you want predictable pricing at $0.20/M input and $1.25/M output

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.7 and ranks #31 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 2.6x 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 Sep 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
26.6
#156
45.7
#31
27.4
#142
43.1
#45
15.7
#134
36.3
#22
10.8
#118
33.0
#28
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.20 / M
$0.14 / M
Output price
$1.25 / M
$0.28 / M
Context window
400,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.4 nano
MiMo-V2.6-Flash
10.6#127
25.7#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GPT-5.4 nano · 16 for MiMo-V2.6-Flash

1 shared

GPT-5.4 nano outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 1 benchmark (OSWorld-Verified).

MiMo-V2.6-Flash significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Flash costs less

For input processing, GPT-5.4 nano ($0.20/1M tokens) is 1.4x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).

For output processing, GPT-5.4 nano ($1.25/1M tokens) is 4.5x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).

In conclusion, GPT-5.4 nano is more expensive than MiMo-V2.6-Flash.*

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

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
OpenAI
GPT-5.4 nano
Input tokens$0.20
Output tokens$1.25
Best providerOpenAI
Xiaomi
MiMo-V2.6-Flash
Input tokens$0.14
Output tokens$0.28
Best providerXiaomi
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to GPT-5.4 nano's 400,000 tokens. Only GPT-5.4 nano specifies output context (128,000 tokens).

OpenAI
GPT-5.4 nano
Input400,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.4 nano and MiMo-V2.6-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.4 nano

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 nano is licensed under a proprietary license, while MiMo-V2.6-Flash uses MIT.

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

GPT-5.4 nano

Proprietary

Closed source

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 nano was released on 2026-03-17, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 6 months newer than GPT-5.4 nano.

GPT-5.4 nano

Mar 17, 2026

6 months ago

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5.4 nano has a documented knowledge cutoff of 2025-08-31, while MiMo-V2.6-Flash's cutoff date is not specified.

We can confirm GPT-5.4 nano's training data extends to 2025-08-31, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.

GPT-5.4 nano

Aug 2025

MiMo-V2.6-Flash

Provider Availability

GPT-5.4 nano is available from OpenAI. MiMo-V2.6-Flash is available from Xiaomi.

GPT-5.4 nano

openai logo
OpenAI
Input Price:Input: $0.20/1MOutput Price:Output: $1.25/1M

MiMo-V2.6-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.4 nano and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

GPT-5.4 nano
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about GPT-5.4 nano vs MiMo-V2.6-Flash.

Which is better, GPT-5.4 nano or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 26.6. GPT-5.4 nano is made by OpenAI and MiMo-V2.6-Flash is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.4 nano compare to MiMo-V2.6-Flash in benchmarks?

GPT-5.4 nano scores Tau2 Telecom: 92.5%, GPQA: 82.8%, OmniDocBench 1.5: 75.8%, Graphwalks BFS <128k: 73.4%, LiveBench: 70.1%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

Is GPT-5.4 nano cheaper than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is 1.4x cheaper for input tokens. GPT-5.4 nano costs $0.20/M input and $1.25/M output via openai. MiMo-V2.6-Flash costs $0.14/M input and $0.28/M output via xiaomi.

What are the context window sizes for GPT-5.4 nano and MiMo-V2.6-Flash?

GPT-5.4 nano supports 400K tokens and MiMo-V2.6-Flash 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 GPT-5.4 nano and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (26.6 vs 45.7), context window (400K vs 1.0M), input pricing ($0.20 vs $0.14/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.4 nano and MiMo-V2.6-Flash?

GPT-5.4 nano is developed by OpenAI and MiMo-V2.6-Flash is developed by Xiaomi.