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GPT-6 Rosalind vs MiMo-V2-Flash

Comparing GPT-6 Rosalind and MiMo-V2-Flash across benchmarks, pricing, and capabilities.

OpenAI · Xiaomi · Updated for 2026

Which is better?

GPT-6 Rosalind and MiMo-V2-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, MiMo-V2-Flash is roughly 200.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose GPT-6 Rosalind

  • you want the most recent training data — it shipped Oct 2026

Choose MiMo-V2-Flash

  • cost matters — it's about 200.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Rosalind
OpenAI
MiMo-V2-Flash
Xiaomi
Benchmark wins
—
—
Input price
$15.00 / M
$0.10 / M
Output price
$75.00 / M
$0.30 / M
Context window
—
256,000

Individual benchmarks

0 reported for GPT-6 Rosalind · 15 for MiMo-V2-Flash

No common benchmarks found

GPT-6 Rosalind and MiMo-V2-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, GPT-6 Rosalind ($15.00/1M tokens) is 150.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 250.0x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

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

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

Lowest available price from all providers
Wed Nov 04 2026 • llm-stats.com
OpenAI
GPT-6 Rosalind
Input tokens$15.00
Output tokens$75.00
Best providerOpenAI
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Only MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).

OpenAI
GPT-6 Rosalind
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Rosalind supports multimodal inputs, whereas MiMo-V2-Flash does not.

GPT-6 Rosalind can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Rosalind

Text
Images
Audio
Video

MiMo-V2-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Rosalind 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-6 Rosalind

Proprietary

Closed source

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Rosalind was released on 2026-10-30, while MiMo-V2-Flash was released on 2025-12-16.

GPT-6 Rosalind is 11 months newer than MiMo-V2-Flash.

GPT-6 Rosalind

Oct 30, 2026

5 days ago

10mo newer
MiMo-V2-Flash

Dec 16, 2025

10 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-6 Rosalind is available from OpenAI. MiMo-V2-Flash is available from Xiaomi.

GPT-6 Rosalind

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

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?

Judge for yourself.

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

GPT-6 Rosalind
✓ Preferred
MiMo-V2-Flash
Open in Playground

FAQ

Common questions about GPT-6 Rosalind vs MiMo-V2-Flash.

Which is better, GPT-6 Rosalind or MiMo-V2-Flash?

GPT-6 Rosalind (OpenAI) and MiMo-V2-Flash (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-6 Rosalind compare to MiMo-V2-Flash in benchmarks?

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-6 Rosalind cheaper than MiMo-V2-Flash?

MiMo-V2-Flash is 150.0x cheaper for input tokens. GPT-6 Rosalind costs $15.00/M input and $75.00/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-6 Rosalind and MiMo-V2-Flash?

GPT-6 Rosalind supports an unknown number of 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-6 Rosalind and MiMo-V2-Flash?

Key differences include input pricing ($15.00 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-6 Rosalind and MiMo-V2-Flash?

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

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