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Muse Ember vs Step-3.5-Flash

Muse Ember leads the LLM Stats Score 45.9 to 36.4. Step-3.5-Flash is 1.1x cheaper per token.

Meta · StepFun · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 36.4, ranking #47 overall.

On price, Step-3.5-Flash is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Ember 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 Ember

  • overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
  • your work emphasizes reasoning 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 Nov 2026

Choose Step-3.5-Flash

  • cost matters — it's about 1.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
45.9
#47
36.4
#103
48.1
#24
36.4
#102
27.3
#85
20.2
#127
31.6
#45
14.3
#125
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.10 / M
Output price
$0.50 / M
$0.40 / M
Context window
1,048,576
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Muse Ember
Step-3.5-Flash
30.7#14
13.2#130
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Muse Ember · 7 for Step-3.5-Flash

No common benchmarks found

Muse Ember 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 Ember ($0.10/1M tokens) costs the same as Step-3.5-Flash ($0.10/1M tokens).

For output processing, Muse Ember ($0.50/1M tokens) is 1.3x more expensive than Step-3.5-Flash ($0.40/1M tokens).

In conclusion, Muse Ember 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 Nov 13 2026 • llm-stats.com
Meta
Muse Ember
Input tokens$0.10
Output tokens$0.50
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 Ember accepts 1,048,576 input tokens compared to Step-3.5-Flash's 65,536 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while Step-3.5-Flash is limited to 8,192 tokens.

Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Fri Nov 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Muse Ember

Text
Images
Audio
Video

Step-3.5-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Ember 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 Ember

Proprietary

Closed source

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Ember was released on 2026-11-09, while Step-3.5-Flash was released on 2026-02-02.

Muse Ember is 9 months newer than Step-3.5-Flash.

Muse Ember

Nov 9, 2026

3 days ago

9mo newer
Step-3.5-Flash

Feb 2, 2026

9 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 Ember is available from Meta Model API. Step-3.5-Flash is available from StepFun.

Muse Ember

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

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 Ember and Step-3.5-Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Muse Ember leads the LLM Stats Score 45.9 to 36.4. Muse Ember 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 Ember compare to Step-3.5-Flash in benchmarks?

Muse Ember scores PerceptionBench: 80.6%, OSWorld 2.1 (partial): 69.5%, Agents' Last Exam: 61.6%, Personal Superintelligence Index: 46.8%, Terminal-Bench 4.0: 40.9%. 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 Ember cheaper than Step-3.5-Flash?

Both models cost $0.10 per million input tokens.

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

Muse Ember 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 Ember and Step-3.5-Flash?

Key differences include LLM Stats Score (45.9 vs 36.4), context window (1.0M vs 66K), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Ember and Step-3.5-Flash?

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