Llama 3.1 8B Instruct vs Step-3.5-Flash
Step-3.5-Flash leads the LLM Stats Score 37.3 to -2.4. Llama 3.1 8B Instruct is 5.8x cheaper per token.
Meta · StepFun · Updated for 2026
Which is better?
Step-3.5-Flash leads the overall LLM Stats Score 37.3 to -2.4, ranking #61 overall.
On price, Llama 3.1 8B Instruct is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct
- cost matters — it's about 5.8x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose Step-3.5-Flash
- overall performance matters — it scores 37.3 and ranks #61 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Feb 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Llama 3.1 8B Instruct · 7 for Step-3.5-Flash
Llama 3.1 8B Instruct and Step-3.5-Flashdon'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, Llama 3.1 8B Instruct ($0.03/1M tokens) is 3.3x cheaper than Step-3.5-Flash ($0.10/1M tokens).
For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 13.3x cheaper than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, Step-3.5-Flash is more expensive than Llama 3.1 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Step-3.5-Flash has 188.0B more parameters than Llama 3.1 8B Instruct, making it 2350.0% larger.
Context Window
Maximum input and output token capacity
Llama 3.1 8B Instruct accepts 131,072 input tokens compared to Step-3.5-Flash's 65,536 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Step-3.5-Flash is limited to 8,192 tokens.
License
Usage and distribution terms
Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Step-3.5-Flash uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.1 8B Instruct was released on 2024-07-23, while Step-3.5-Flash was released on 2026-02-02.
Step-3.5-Flash is 19 months newer than Llama 3.1 8B Instruct.
Jul 23, 2024
2.1 years ago
Feb 2, 2026
7 months ago
1.5yr newerKnowledge Cutoff
When training data ends
Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Step-3.5-Flash's cutoff date is not specified.
We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Step-3.5-Flash's cutoff date.
Dec 2023
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Provider Availability
Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Step-3.5-Flash is available from StepFun.
Llama 3.1 8B Instruct
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 8B Instruct and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 8B Instruct vs Step-3.5-Flash.