GPT-5.2 Codex vs Step 3.7 Flash
GPT-5.2 Codex and Step 3.7 Flash are closely matched at 34.4 and 30.2 on the LLM Stats Score. Step 3.7 Flash is 11.0x cheaper per token.
OpenAI · StepFun · Updated for 2026
Which is better?
GPT-5.2 Codex and Step 3.7 Flash are closely matched on the overall LLM Stats Score at 34.4 and 30.2.
In the 1 individual benchmarks reported for both models, GPT-5.2 Codex wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Step 3.7 Flash is roughly 11.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.2 Codex also accepts a larger context window (400,000 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-5.2 Codex
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 400,000 token context window
Choose Step 3.7 Flash
- cost matters — it's about 11.0x cheaper per token
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
3 reported for GPT-5.2 Codex · 4 for Step 3.7 Flash
GPT-5.2 Codex outperforms in 1 benchmarks (SWE-Bench Pro), while Step 3.7 Flash is better at 0 benchmarks.
GPT-5.2 Codex 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-5.2 Codex ($1.75/1M tokens) is 8.8x more expensive than Step 3.7 Flash ($0.20/1M tokens).
For output processing, GPT-5.2 Codex ($14.00/1M tokens) is 12.2x more expensive than Step 3.7 Flash ($1.15/1M tokens).
In conclusion, GPT-5.2 Codex is more expensive than Step 3.7 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.2 Codex accepts 400,000 input tokens compared to Step 3.7 Flash's 262,144 tokens. Step 3.7 Flash can generate longer responses up to 262,144 tokens, while GPT-5.2 Codex is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 Codex and Step 3.7 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Codex
Step 3.7 Flash
License
Usage and distribution terms
GPT-5.2 Codex is licensed under a proprietary license, while Step 3.7 Flash uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.2 Codex was released on 2026-01-14, while Step 3.7 Flash was released on 2026-06-10.
Step 3.7 Flash is 5 months newer than GPT-5.2 Codex.
Jan 14, 2026
8 months ago
Jun 10, 2026
3 months ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.2 Codex is available from OpenAI. Step 3.7 Flash is available from DeepInfra.
GPT-5.2 Codex
Step 3.7 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 Codex and Step 3.7 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 Codex vs Step 3.7 Flash.