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GPT-6 Rosalind vs Step 3.7 Flash

Comparing GPT-6 Rosalind and Step 3.7 Flash across benchmarks, pricing, and capabilities.

OpenAI · StepFun · Updated for 2026

Which is better?

GPT-6 Rosalind and Step 3.7 Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Step 3.7 Flash is roughly 68.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Rosalind

  • you want the most recent training data — it shipped Oct 2026

Choose Step 3.7 Flash

  • cost matters — it's about 68.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Rosalind
OpenAI
Step 3.7 Flash
StepFun
Benchmark wins
—
—
Input price
$15.00 / M
$0.20 / M
Output price
$75.00 / M
$1.15 / M
Context window
—
262,144

Individual benchmarks

0 reported for GPT-6 Rosalind · 4 for Step 3.7 Flash

No common benchmarks found

GPT-6 Rosalind and Step 3.7 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

Step 3.7 Flash costs less

For input processing, GPT-6 Rosalind ($15.00/1M tokens) is 75.0x more expensive than Step 3.7 Flash ($0.20/1M tokens).

For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 65.2x more expensive than Step 3.7 Flash ($1.15/1M tokens).

In conclusion, GPT-6 Rosalind is more expensive than Step 3.7 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
OpenAI
GPT-6 Rosalind
Input tokens$15.00
Output tokens$75.00
Best providerOpenAI
StepFun
Step 3.7 Flash
Input tokens$0.20
Output tokens$1.15
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Only Step 3.7 Flash specifies input context (262,144 tokens). Only Step 3.7 Flash specifies output context (262,144 tokens).

OpenAI
GPT-6 Rosalind
Input- tokens
Output- tokens
StepFun
Step 3.7 Flash
Input262,144 tokens
Output262,144 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Rosalind and Step 3.7 Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Rosalind

Text
Images
Audio
Video

Step 3.7 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Rosalind 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.

GPT-6 Rosalind

Proprietary

Closed source

Step 3.7 Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Rosalind was released on 2026-10-30, while Step 3.7 Flash was released on 2026-06-10.

GPT-6 Rosalind is 5 months newer than Step 3.7 Flash.

GPT-6 Rosalind

Oct 30, 2026

6 days ago

4mo newer
Step 3.7 Flash

Jun 10, 2026

4 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-6 Rosalind is available from OpenAI. Step 3.7 Flash is available from DeepInfra.

GPT-6 Rosalind

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

Step 3.7 Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Rosalind and Step 3.7 Flash side-by-side, then vote on the output you prefer.

GPT-6 Rosalind
✓ Preferred
Step 3.7 Flash
Open in Playground

FAQ

Common questions about GPT-6 Rosalind vs Step 3.7 Flash.

Which is better, GPT-6 Rosalind or Step 3.7 Flash?

GPT-6 Rosalind (OpenAI) and Step 3.7 Flash (StepFun) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-6 Rosalind compare to Step 3.7 Flash in benchmarks?

Step 3.7 Flash scores Terminal-Bench 2.1: 59.5%, SWE-Bench Pro: 56.3%, Humanity's Last Exam (with tools, text-only): 47.2%, GDPval: 45.8%.

Is GPT-6 Rosalind cheaper than Step 3.7 Flash?

Step 3.7 Flash is 75.0x cheaper for input tokens. GPT-6 Rosalind costs $15.00/M input and $75.00/M output via openai. Step 3.7 Flash costs $0.20/M input and $1.15/M output via deepinfra.

What are the context window sizes for GPT-6 Rosalind and Step 3.7 Flash?

GPT-6 Rosalind supports an unknown number of tokens and Step 3.7 Flash supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Rosalind and Step 3.7 Flash?

Key differences include input pricing ($15.00 vs $0.20/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Rosalind and Step 3.7 Flash?

GPT-6 Rosalind is developed by OpenAI and Step 3.7 Flash is developed by StepFun.

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