The AI arena is free today

Open Superagent

MiMo-V2.6-Pro vs SWE-2

MiMo-V2.6-Pro and SWE-2 are closely matched at 48.5 and 47.9 on the LLM Stats Score.

Xiaomi · Cognition · Updated for 2026

Which is better?

MiMo-V2.6-Pro and SWE-2 are closely matched on the overall LLM Stats Score at 48.5 and 47.9.

In the 3 individual benchmarks reported for both models, SWE-2 wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose MiMo-V2.6-Pro

  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose SWE-2

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

Core performance indexes
48.5
#30
47.9
#34
45.6
#36
45.5
#37
39.1
#23
38.7
#26
36.3
#24
35.6
#27
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2.6-Pro
SWE-2
29.9#18
26.2#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for MiMo-V2.6-Pro · 4 for SWE-2

3 shared

MiMo-V2.6-Pro outperforms in 1 benchmarks (Terminal-Bench 4.0), while SWE-2 is better at 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1).

SWE-2 shows notably better performance in the majority of benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Cognition
SWE-2
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas SWE-2 does not.

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

MiMo-V2.6-Pro

Text
Images
Audio
Video

SWE-2

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while SWE-2 uses a proprietary license.

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

MiMo-V2.6-Pro

MIT

Open weights

SWE-2

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while SWE-2 was released on 2026-09-10.

MiMo-V2.6-Pro is 0 month newer than SWE-2.

MiMo-V2.6-Pro

Sep 22, 2026

1 months ago

1w newer
SWE-2

Sep 10, 2026

1 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiMo-V2.6-Pro and SWE-2 side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
SWE-2
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs SWE-2.

Which is better, MiMo-V2.6-Pro or SWE-2?

MiMo-V2.6-Pro and SWE-2 are closely matched on the LLM Stats Score at 48.5 and 47.9. MiMo-V2.6-Pro is made by Xiaomi and SWE-2 is made by Cognition. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2.6-Pro compare to SWE-2 in benchmarks?

MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%. SWE-2 scores Terminal-Bench 2.1: 92.8%, DeepSWE 1.1: 73.0%, FrontierCode 1.1: 50.0%, Terminal-Bench 4.0: 27.3%.

What are the context window sizes for MiMo-V2.6-Pro and SWE-2?

MiMo-V2.6-Pro supports 1.0M tokens and SWE-2 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 MiMo-V2.6-Pro and SWE-2?

Key differences include LLM Stats Score (48.5 vs 47.9), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and SWE-2?

MiMo-V2.6-Pro is developed by Xiaomi and SWE-2 is developed by Cognition.