Llama 3.1 405B Instruct vs Step-3.5-Flash
Step-3.5-Flash leads the LLM Stats Score 37.2 to 14.7. Step-3.5-Flash is 5.1x cheaper per token.
Meta · StepFun · Updated for 2026
Which is better?
Step-3.5-Flash leads the overall LLM Stats Score 37.2 to 14.7, ranking #68 overall.
On price, Step-3.5-Flash is roughly 5.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.1 405B Instruct also accepts a larger context window (128,000 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 Llama 3.1 405B Instruct
- you process long inputs — it offers a 128,000 token context window
Choose Step-3.5-Flash
- overall performance matters — it scores 37.2 and ranks #68 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 5.1x cheaper per token
- 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 405B Instruct · 7 for Step-3.5-Flash
Llama 3.1 405B 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 405B Instruct ($0.89/1M tokens) is 8.9x more expensive than Step-3.5-Flash ($0.10/1M tokens).
For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 2.2x more expensive than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, Llama 3.1 405B Instruct is more expensive than Step-3.5-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.1 405B Instruct has 209.0B more parameters than Step-3.5-Flash, making it 106.6% larger.
Context Window
Maximum input and output token capacity
Llama 3.1 405B Instruct accepts 128,000 input tokens compared to Step-3.5-Flash's 65,536 tokens. Llama 3.1 405B Instruct can generate longer responses up to 128,000 tokens, while Step-3.5-Flash is limited to 8,192 tokens.
License
Usage and distribution terms
Llama 3.1 405B 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 405B 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 405B Instruct.
Jul 23, 2024
2.1 years ago
Feb 2, 2026
7 months ago
1.5yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate. Step-3.5-Flash is available from StepFun.
Llama 3.1 405B Instruct
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 405B Instruct and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 405B Instruct vs Step-3.5-Flash.