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GPT-5.6 Sol vs SWE-2

GPT-5.6 Sol and SWE-2 are closely matched at 52.7 and 47.9 on the LLM Stats Score.

OpenAI · Cognition · Updated for 2026

Which is better?

GPT-5.6 Sol and SWE-2 are closely matched on the overall LLM Stats Score at 52.7 and 47.9.

In the 4 individual benchmarks reported for both models, SWE-2 wins 3; 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 GPT-5.6 Sol

  • you want predictable pricing at $5.00/M input and $30.00/M output

Choose SWE-2

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
52.7
#13
47.9
#34
51.5
#9
45.5
#37
42.5
#11
38.7
#26
38.8
#10
35.6
#27
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$5.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.6 Sol
SWE-2
29.1#25
26.2#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

46 reported for GPT-5.6 Sol · 4 for SWE-2

4 shared

GPT-5.6 Sol outperforms in 1 benchmarks (Terminal-Bench 4.0), while SWE-2 is better at 2 benchmarks (FrontierCode 1.1, Terminal-Bench 2.1).

SWE-2 has a slight edge in benchmark performance.

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 GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Cognition
SWE-2
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Sol supports multimodal inputs, whereas SWE-2 does not.

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

GPT-5.6 Sol

Text
Images
Audio
Video

SWE-2

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 Sol

Proprietary

Closed source

SWE-2

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while SWE-2 was released on 2026-09-10.

SWE-2 is 2 months newer than GPT-5.6 Sol.

GPT-5.6 Sol

Jul 9, 2026

3 months ago

SWE-2

Sep 10, 2026

1 months ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while SWE-2's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without SWE-2's cutoff date.

GPT-5.6 Sol

Feb 2026

SWE-2

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and SWE-2 side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
SWE-2
Open in Playground

FAQ

Common questions about GPT-5.6 Sol vs SWE-2.

Which is better, GPT-5.6 Sol or SWE-2?

GPT-5.6 Sol and SWE-2 are closely matched on the LLM Stats Score at 52.7 and 47.9. GPT-5.6 Sol is made by OpenAI 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 GPT-5.6 Sol compare to SWE-2 in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. 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 GPT-5.6 Sol and SWE-2?

GPT-5.6 Sol supports 1.1M 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 GPT-5.6 Sol and SWE-2?

Key differences include LLM Stats Score (52.7 vs 47.9), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and SWE-2?

GPT-5.6 Sol is developed by OpenAI and SWE-2 is developed by Cognition.