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GPT-5.6 Sol vs SWE-2 Flash

GPT-5.6 Sol leads the LLM Stats Score 52.2 to 43.8.

OpenAI · Cognition · Updated for 2026

Which is better?

GPT-5.6 Sol leads the overall LLM Stats Score 52.2 to 43.8, ranking #16 overall.

In the 5 individual benchmarks reported for both models, GPT-5.6 Sol wins 4; 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

  • overall performance matters — it scores 52.2 and ranks #16 on LLM Stats
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results

Choose SWE-2 Flash

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

At a glance

The differences that matter most.

Core performance indexes
52.2
#16
43.8
#59
51.2
#11
42.6
#61
40.4
#13
33.0
#44
37.4
#14
30.1
#50
Cost, coverage & limits
Benchmark wins
4 of 5
1 of 5
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 Flash
28.6#29
23.0#58
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

46 reported for GPT-5.6 Sol · 7 for SWE-2 Flash

5 shared

GPT-5.6 Sol outperforms in 4 benchmarks (DeepSWE 1.1, ExploitBench, FrontierCode 1.1, Terminal-Bench 4.0), while SWE-2 Flash is better at 1 benchmark (Terminal-Bench 2.1).

GPT-5.6 Sol significantly outperforms across most benchmarks.

Thu Nov 12 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 Flash
Input- tokens
Output- tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Sol supports multimodal inputs, whereas SWE-2 Flash 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 Flash

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 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while SWE-2 Flash was released on 2026-11-04.

SWE-2 Flash is 4 months newer than GPT-5.6 Sol.

GPT-5.6 Sol

Jul 9, 2026

4 months ago

SWE-2 Flash

Nov 4, 2026

1 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while SWE-2 Flash'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 Flash's cutoff date.

GPT-5.6 Sol

Feb 2026

SWE-2 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

GPT-5.6 Sol leads the LLM Stats Score 52.2 to 43.8. GPT-5.6 Sol is made by OpenAI and SWE-2 Flash 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 Flash 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 Flash scores Terminal-Bench 2.1: 89.2%, DeepSWE 1.1: 60.1%, SWE Atlas - Codebase QnA: 50.0%, FrontierCode 1.1: 45.5%, ExploitBench: 34.8%.

What are the context window sizes for GPT-5.6 Sol and SWE-2 Flash?

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

Key differences include LLM Stats Score (52.2 vs 43.8), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and SWE-2 Flash?

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