Ling 3.0 Flash vs Step 3.7 Flash
Ling 3.0 Flash and Step 3.7 Flash are closely matched at 36.4 and 30.2 on the LLM Stats Score. Ling 3.0 Flash is 4.9x cheaper per token.
InclusionAI · StepFun · Updated for 2026
Which is better?
Ling 3.0 Flash and Step 3.7 Flash are closely matched on the overall LLM Stats Score at 36.4 and 30.2.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Ling 3.0 Flash is roughly 4.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Step 3.7 Flash also accepts a larger context window (262,144 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 Ling 3.0 Flash
- cost matters — it's about 4.9x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose Step 3.7 Flash
- you process long inputs — it offers a 262,144 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
19 reported for Ling 3.0 Flash · 4 for Step 3.7 Flash
Ling 3.0 Flash outperforms in 1 benchmarks (SWE-Bench Pro), while Step 3.7 Flash is better at 1 benchmark (Terminal-Bench 2.1).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Ling 3.0 Flash ($0.06/1M tokens) is 3.3x cheaper than Step 3.7 Flash ($0.20/1M tokens).
For output processing, Ling 3.0 Flash ($0.18/1M tokens) is 6.4x cheaper than Step 3.7 Flash ($1.15/1M tokens).
In conclusion, Step 3.7 Flash is more expensive than Ling 3.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Step 3.7 Flash has 74.0B more parameters than Ling 3.0 Flash, making it 59.7% larger.
Context Window
Maximum input and output token capacity
Step 3.7 Flash accepts 262,144 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Step 3.7 Flash can generate longer responses up to 262,144 tokens, while Ling 3.0 Flash is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Step 3.7 Flash supports multimodal inputs, whereas Ling 3.0 Flash does not.
Step 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ling 3.0 Flash
Step 3.7 Flash
Release Timeline
When each model was launched
Ling 3.0 Flash was released on 2026-08-04, while Step 3.7 Flash was released on 2026-06-10.
Ling 3.0 Flash is 2 months newer than Step 3.7 Flash.
Aug 4, 2026
1 months ago
1mo newerJun 10, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ling 3.0 Flash is available from DeepInfra. Step 3.7 Flash is available from DeepInfra.
Ling 3.0 Flash
Step 3.7 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash and Step 3.7 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash vs Step 3.7 Flash.