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Muse Wonder vs Step-3.5-Flash

Muse Wonder leads the LLM Stats Score 47.9 to 37.1. Step-3.5-Flash is 45.7x cheaper per token.

Meta · StepFun · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 47.9 to 37.1, ranking #29 overall.

On price, Step-3.5-Flash is roughly 45.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Wonder also accepts a larger context window (1,048,576 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 Muse Wonder

  • overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Step-3.5-Flash

  • cost matters — it's about 45.7x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Wonder
Meta
Step-3.5-Flash
StepFun
Core performance indexes
LLM Stats Score
47.9
#29
37.1
#82
Reasoning
33.1
#108
37.1
#80
Coding
38.9
#18
20.3
#109
Agents
34.1
#24
15.4
#98
Cost, coverage & limits
Benchmark wins
—
—
Input price
$4.00 / M
$0.10 / M
Output price
$20.00 / M
$0.40 / M
Context window
1,048,576
65,536

Individual benchmarks

16 reported for Muse Wonder · 7 for Step-3.5-Flash

No common benchmarks found

Muse Wonder 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

Step-3.5-Flash costs less

For input processing, Muse Wonder ($4.00/1M tokens) is 40.0x more expensive than Step-3.5-Flash ($0.10/1M tokens).

For output processing, Muse Wonder ($20.00/1M tokens) is 50.0x more expensive than Step-3.5-Flash ($0.40/1M tokens).

In conclusion, Muse Wonder is more expensive than Step-3.5-Flash.*

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

Lowest available price from all providers
Fri Oct 16 2026 • llm-stats.com
Meta
Muse Wonder
Input tokens$4.00
Output tokens$20.00
Best providerMeta
StepFun
Step-3.5-Flash
Input tokens$0.10
Output tokens$0.40
Best providerStepFun
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Muse Wonder accepts 1,048,576 input tokens compared to Step-3.5-Flash's 65,536 tokens. Only Step-3.5-Flash specifies output context (8,192 tokens).

Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas Step-3.5-Flash does not.

Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Wonder

Text
Images
Audio
Video

Step-3.5-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder is licensed under a proprietary 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.

Muse Wonder

Proprietary

Closed source

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Wonder was released on 2026-10-12, while Step-3.5-Flash was released on 2026-02-02.

Muse Wonder is 8 months newer than Step-3.5-Flash.

Muse Wonder

Oct 12, 2026

1 days ago

8mo newer
Step-3.5-Flash

Feb 2, 2026

8 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

Muse Wonder is available from Meta Model API. Step-3.5-Flash is available from StepFun.

Muse Wonder

meta logo
Meta
Input Price:Input: $4.00/1MOutput Price:Output: $20.00/1M

Step-3.5-Flash

stepfun logo
StepFun
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Wonder and Step-3.5-Flash side-by-side, then vote on the output you prefer.

Muse Wonder
✓ Preferred
Step-3.5-Flash
Open in Playground

FAQ

Common questions about Muse Wonder vs Step-3.5-Flash.

Which is better, Muse Wonder or Step-3.5-Flash?

Muse Wonder leads the LLM Stats Score 47.9 to 37.1. Muse Wonder is made by Meta and Step-3.5-Flash is made by StepFun. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder compare to Step-3.5-Flash in benchmarks?

Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%. Step-3.5-Flash scores AIME 2025: 97.3%, Tau-bench: 88.2%, LiveCodeBench v6: 86.4%, IMO-AnswerBench: 85.4%, SWE-Bench Verified: 74.4%.

Is Muse Wonder cheaper than Step-3.5-Flash?

Step-3.5-Flash is 40.0x cheaper for input tokens. Muse Wonder costs $4.00/M input and $20.00/M output via meta. Step-3.5-Flash costs $0.10/M input and $0.40/M output via stepfun.

What are the context window sizes for Muse Wonder and Step-3.5-Flash?

Muse Wonder supports 1.0M tokens and Step-3.5-Flash supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Wonder and Step-3.5-Flash?

Key differences include LLM Stats Score (47.9 vs 37.1), context window (1.0M vs 66K), input pricing ($4.00 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder and Step-3.5-Flash?

Muse Wonder is developed by Meta and Step-3.5-Flash is developed by StepFun.

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