Model Comparison

GPT-5.4 vs MiMo-V2-FlashWhich is better in 2026?

GPT-5.4 significantly outperforms across most benchmarks. MiMo-V2-Flash is 37.5x cheaper per token.

Verdict: GPT-5.4 vs MiMo-V2-Flash — which is better?

GPT-5.4 (by OpenAI) and MiMo-V2-Flash (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.

GPT-5.4 outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.

On price, MiMo-V2-Flash is roughly 37.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.4 if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Mar 2026

Choose MiMo-V2-Flash if…

  • cost matters — it's about 37.5x cheaper per token
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-5.4 outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks.

GPT-5.4 significantly outperforms across most benchmarks.

Sun Jun 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 25.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 50.0x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

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

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

Lowest available price from all providers
Sun Jun 21 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.4 accepts 1,000,000 input tokens compared to MiMo-V2-Flash's 256,000 tokens. GPT-5.4 can generate longer responses up to 128,000 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Sun Jun 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.4 supports multimodal inputs, whereas MiMo-V2-Flash does not.

GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.4

Text
Images
Audio
Video

MiMo-V2-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

GPT-5.4

Proprietary

Closed source

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while MiMo-V2-Flash was released on 2025-12-16.

GPT-5.4 is 3 months newer than MiMo-V2-Flash.

GPT-5.4

Mar 5, 2026

3 months ago

2mo newer
MiMo-V2-Flash

Dec 16, 2025

6 months ago

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

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

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher BrowseComp score (82.7% vs 58.3%)
Higher GPQA score (92.8% vs 83.7%)
Higher Humanity's Last Exam score (39.8% vs 22.1%)
Higher Terminal-Bench 2.0 score (75.1% vs 38.5%)
Xiaomi
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
Xiaomi
MiMo-V2-Flash

FAQ

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

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

GPT-5.4 significantly outperforms across most benchmarks. GPT-5.4 is made by OpenAI and MiMo-V2-Flash is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

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

GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

Is GPT-5.4 cheaper than MiMo-V2-Flash?

MiMo-V2-Flash is 25.0x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.

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

GPT-5.4 supports 1.0M tokens and MiMo-V2-Flash supports 256K 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 and MiMo-V2-Flash?

Key differences include context window (1.0M vs 256K), input pricing ($2.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.4 and MiMo-V2-Flash?

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

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