Model Comparison

GPT-5.6 Luna vs MiMo-V2-ProWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks. MiMo-V2-Pro is 1.5x cheaper per token.

Verdict: GPT-5.6 Luna vs MiMo-V2-Pro — which is better?

GPT-5.6 Luna (by OpenAI) and MiMo-V2-Pro (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-5.6 Luna outperforms in 1 benchmarks (GDPval-AA), while MiMo-V2-Pro is better at 0 benchmarks. GPT-5.6 Luna significantly outperforms across most benchmarks.

On price, MiMo-V2-Pro is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose MiMo-V2-Pro if…

  • cost matters — it's about 1.5x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.6 Luna outperforms in 1 benchmarks (GDPval-AA), while MiMo-V2-Pro is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Pro costs less

For input processing, GPT-5.6 Luna ($1.00/1M tokens) costs the same as MiMo-V2-Pro ($1.00/1M tokens).

For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 2.0x more expensive than MiMo-V2-Pro ($3.00/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than MiMo-V2-Pro.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
OpenAI
GPT-5.6 Luna
Input tokens$1.00
Output tokens$6.00
Best providerOpenAI
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.6 Luna accepts 1,050,000 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Luna supports multimodal inputs, whereas MiMo-V2-Pro does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Luna

Text
Images
Audio
Video

MiMo-V2-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.6 Luna

Proprietary

Closed source

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while MiMo-V2-Pro was released on 2026-03-18.

GPT-5.6 Luna is 4 months newer than MiMo-V2-Pro.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

3mo newer
MiMo-V2-Pro

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while MiMo-V2-Pro's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without MiMo-V2-Pro's cutoff date.

GPT-5.6 Luna

Feb 2026

MiMo-V2-Pro

—

Provider Availability

GPT-5.6 Luna is available from OpenAI. MiMo-V2-Pro is available from Xiaomi.

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $6.00/1M

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?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
Higher GDPval-AA score (53.1% vs 47.5%)
Xiaomi
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and MiMo-V2-Pro side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
MiMo-V2-Pro
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Xiaomi
MiMo-V2-Pro

FAQ

Common questions about GPT-5.6 Luna vs MiMo-V2-Pro.

Which is better, GPT-5.6 Luna or MiMo-V2-Pro?

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is made by OpenAI and MiMo-V2-Pro is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Luna compare to MiMo-V2-Pro in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. 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 GPT-5.6 Luna cheaper than MiMo-V2-Pro?

Both models cost $1.00 per million input tokens.

What are the context window sizes for GPT-5.6 Luna and MiMo-V2-Pro?

GPT-5.6 Luna supports 1.1M 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 GPT-5.6 Luna and MiMo-V2-Pro?

Key differences include context window (1.1M vs 1.0M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and MiMo-V2-Pro?

GPT-5.6 Luna is developed by OpenAI and MiMo-V2-Pro is developed by Xiaomi.

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