GPT-6.1 Sol vs Ling 3.0 Flash Fin
GPT-6.1 Sol leads the LLM Stats Score 53.6 to 42.9. Ling 3.0 Flash Fin is 44.4x cheaper per token.
OpenAI · InclusionAI · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to 42.9, ranking #7 overall.
In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash Fin is roughly 44.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 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-6.1 Sol
- overall performance matters — it scores 53.6 and ranks #7 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Ling 3.0 Flash Fin
- cost matters — it's about 44.4x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for GPT-6.1 Sol · 6 for Ling 3.0 Flash Fin
GPT-6.1 Sol outperforms in 1 benchmarks (APEX-Agents), while Ling 3.0 Flash Fin is better at 0 benchmarks.
GPT-6.1 Sol significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6.1 Sol ($2.00/1M tokens) is 33.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 55.6x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, GPT-6.1 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-6.1 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-6.1 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Sol supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6.1 Sol
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
GPT-6.1 Sol was released on 2026-09-29, while Ling 3.0 Flash Fin was released on 2026-09-03.
GPT-6.1 Sol is 1 month newer than Ling 3.0 Flash Fin.
Sep 29, 2026
3 weeks ago
3w newerSep 3, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Apr 2026
—
Provider Availability
GPT-6.1 Sol is available from OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.
GPT-6.1 Sol
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Sol and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Sol vs Ling 3.0 Flash Fin.