The AI arena is free today

Open Superagent

Parse vs Step3-VL-10B

Comparing Parse and Step3-VL-10B across benchmarks, pricing, and capabilities.

Cohere · StepFun · Updated for 2026

Which is better?

Parse and Step3-VL-10B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Parse

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

Choose Step3-VL-10B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Parse
Cohere
Step3-VL-10B
StepFun
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
8,192
—

Individual benchmarks

1 reported for Parse · 6 for Step3-VL-10B

No common benchmarks found

Parse and Step3-VL-10Bdon'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

Model Size

Parameter count comparison

7.7B diff

Step3-VL-10B has 7.7B more parameters than Parse, making it 334.8% larger.

Cohere
Parse
2.3Bparameters
StepFun
Step3-VL-10B
10.0Bparameters
2.3B
Parse
10.0B
Step3-VL-10B

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
StepFun
Step3-VL-10B
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Parse and Step3-VL-10B support multimodal inputs.

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

Parse

Text
Images
Audio
Video

Step3-VL-10B

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while Step3-VL-10B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Parse

Proprietary

Closed source

Step3-VL-10B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Step3-VL-10B was released on 2026-01-15.

Parse is 7 months newer than Step3-VL-10B.

Parse

Aug 27, 2026

1 weeks ago

7mo newer
Step3-VL-10B

Jan 15, 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Parse and Step3-VL-10B side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Step3-VL-10B
Open in Playground

FAQ

Common questions about Parse vs Step3-VL-10B.

Which is better, Parse or Step3-VL-10B?

Parse (Cohere) and Step3-VL-10B (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 Parse compare to Step3-VL-10B in benchmarks?

Parse scores ParseBench: 79.2%. Step3-VL-10B scores MMBench: 91.8%, AIME 2025: 87.7%, MathVista: 84.0%, MMMU: 78.1%, MathVision: 70.8%.

What are the context window sizes for Parse and Step3-VL-10B?

Parse supports 8K tokens and Step3-VL-10B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Parse and Step3-VL-10B?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Parse and Step3-VL-10B?

Parse is developed by Cohere and Step3-VL-10B is developed by StepFun.

Related comparisons