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GPT OSS 120B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 28.8.

OpenAI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 28.8, ranking #29 overall.

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

Choose GPT OSS 120B

  • you want predictable pricing at $0.04/M input and $0.17/M output

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.7 and ranks #29 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GPT OSS 120B
OpenAI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
28.8
#135
45.7
#29
Reasoning
23.0
#168
43.2
#42
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.04 / M
— / M
Output price
$0.17 / M
— / M
Context window
131,072
—

Individual benchmarks

7 reported for GPT OSS 120B · 16 for MiMo-V2.6-Flash

No common benchmarks found

GPT OSS 120B and MiMo-V2.6-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

Model Size

Parameter count comparison

192.2B diff

MiMo-V2.6-Flash has 192.2B more parameters than GPT OSS 120B, making it 164.6% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
116.8B
GPT OSS 120B
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas GPT OSS 120B does not.

MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 120B

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while MiMo-V2.6-Flash uses MIT.

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

GPT OSS 120B

Apache 2.0

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 14 months newer than GPT OSS 120B.

GPT OSS 120B

Aug 5, 2025

1.1 years ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

1.1yr newer

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT OSS 120B and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

GPT OSS 120B
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about GPT OSS 120B vs MiMo-V2.6-Flash.

Which is better, GPT OSS 120B or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 28.8. GPT OSS 120B 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 OSS 120B compare to MiMo-V2.6-Flash in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. 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%.

What are the context window sizes for GPT OSS 120B and MiMo-V2.6-Flash?

GPT OSS 120B supports 131K tokens and MiMo-V2.6-Flash supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT OSS 120B and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (28.8 vs 45.7), multimodal support (no vs yes), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and MiMo-V2.6-Flash?

GPT OSS 120B is developed by OpenAI and MiMo-V2.6-Flash is developed by Xiaomi.

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