Ling 3.0 Flash vs Step-3.5-Flash
Ling 3.0 Flash and Step-3.5-Flash are closely matched at 36.5 and 37.3 on the LLM Stats Score. Ling 3.0 Flash is 1.9x cheaper per token.
InclusionAI · StepFun · Updated for 2026
Which is better?
Ling 3.0 Flash and Step-3.5-Flash are closely matched on the overall LLM Stats Score at 36.5 and 37.3.
In the 3 individual benchmarks reported for both models, Step-3.5-Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ling 3.0 Flash also accepts a larger context window (131,072 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 1.9x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Step-3.5-Flash
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Ling 3.0 Flash · 7 for Step-3.5-Flash
Ling 3.0 Flash outperforms in 1 benchmarks (BrowseComp), while Step-3.5-Flash is better at 2 benchmarks (IMO-AnswerBench, LiveCodeBench v6).
Step-3.5-Flash shows notably better performance in the majority of 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 1.7x cheaper than Step-3.5-Flash ($0.10/1M tokens).
For output processing, Ling 3.0 Flash ($0.18/1M tokens) is 2.2x cheaper than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, Step-3.5-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-3.5-Flash has 72.0B more parameters than Ling 3.0 Flash, making it 58.1% larger.
Context Window
Maximum input and output token capacity
Ling 3.0 Flash accepts 131,072 input tokens compared to Step-3.5-Flash's 65,536 tokens. Ling 3.0 Flash can generate longer responses up to 131,072 tokens, while Step-3.5-Flash is limited to 8,192 tokens.
Release Timeline
When each model was launched
Ling 3.0 Flash was released on 2026-08-04, while Step-3.5-Flash was released on 2026-02-02.
Ling 3.0 Flash is 6 months newer than Step-3.5-Flash.
Aug 4, 2026
1 months ago
6mo newerFeb 2, 2026
7 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-3.5-Flash is available from StepFun.
Ling 3.0 Flash
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash vs Step-3.5-Flash.