GPT-5.6 Sol vs Ling 3.0 Flash Fin
GPT-5.6 Sol leads the LLM Stats Score 55.1 to 43.3. Ling 3.0 Flash Fin is 125.0x cheaper per token.
OpenAI · InclusionAI · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 55.1 to 43.3, ranking #3 overall.
On price, Ling 3.0 Flash Fin is roughly 125.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5.6 Sol
- overall performance matters — it scores 55.1 and ranks #3 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
Choose Ling 3.0 Flash Fin
- cost matters — it's about 125.0x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
45 reported for GPT-5.6 Sol · 6 for Ling 3.0 Flash Fin
GPT-5.6 Sol and Ling 3.0 Flash Findon'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
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 83.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 166.7x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.6 Sol supports multimodal inputs, whereas Ling 3.0 Flash Fin 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
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
GPT-5.6 Sol was released on 2026-07-09, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 2 months newer than GPT-5.6 Sol.
Jul 9, 2026
2 months ago
Sep 3, 2026
5 days ago
1mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Ling 3.0 Flash Fin'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 Ling 3.0 Flash Fin's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.
GPT-5.6 Sol
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs Ling 3.0 Flash Fin.