Agentic
Like-for-like- Hy3 Preview
- 54.4
- Muse Spark
- 59.0
- Weighted basis
- 1 vs 1 rows
- Reading
- Muse Spark leads
Model comparison
Hy3 Preview vs Muse Spark
Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Muse Spark has the higher public score, 70.48 versus 42.8, and the 90% score intervals do not overlap.
3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Agentic work
Tool use, computer use, and multi-step task completion
Muse Spark
Muse Spark leads on the same 1 weighted benchmark row.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Muse Spark
Muse Spark has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
3 Hy3 Preview only
3 Shared
21 Muse Spark only
- Shared results
- 3
- Hy3 Preview only
- 3
- Muse Spark only
- 21
- Like-for-like categories
- 1 / 8
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Coding
Directional only- Hy3 Preview
- 74.4
- Muse Spark
- 67.8
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Reasoning
Not comparable- Hy3 Preview
- Not measured
- Muse Spark
- 42.5
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Knowledge
Not comparable- Hy3 Preview
- 87.2
- Muse Spark
- 50.4
- Weighted basis
- 1 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- Hy3 Preview
- Not measured
- Muse Spark
- 32.9
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- Hy3 Preview
- Not measured
- Muse Spark
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Hy3 Preview
- Not measured
- Muse Spark
- 82.5
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Instruction following
Not comparable- Hy3 Preview
- Not measured
- Muse Spark
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Hy3 Preview | Muse Spark | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 54.4 | 59.0 | Like-for-like1 vs 1 rows | Muse Spark leads |
| Coding | 74.4 | 67.8 | Directional only1 vs 2 rows | Directional only |
| Reasoning | Not measured | 42.5 | Not comparable0 vs 1 rows | Not comparable |
| Knowledge | 87.2 | 50.4 | Not comparable1 vs 1 rows | Not comparable |
| Math | Not measured | 32.9 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 82.5 | Not comparable0 vs 2 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
Terminal-Bench 2.0
Agentic
SWE-bench Verified
Coding
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Muse Spark
- API rate not published
- Fits in one request
Hy3 Preview has no comparable published API token rate. Muse Spark has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Muse Spark
- API rate not published
- Fits in one request
Hy3 Preview has no comparable published API token rate. Muse Spark has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- Muse Spark
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Hy3 Preview has no comparable published API token rate. Muse Spark has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationHy3 PreviewMuse Spark
Context window
Maximum documented context; output-token limits may be lower.
Hy3 Preview
256K
Muse Spark
262K
API model ID
Hy3 Preview
Not sourced
Muse Spark
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Hy3 Preview
No comparable hosted API rate
Muse Spark
No comparable hosted API rate
Documented inputs
Hy3 Preview
Not sourced
Muse Spark
Not sourced
Documented outputs
Hy3 Preview
Not sourced
Muse Spark
Not sourced
Provider availability
Hy3 Preview
Not sourced
Muse Spark
Not sourced
Reasoning profile
Hy3 Preview
Reasoning
Muse Spark
Reasoning
Weight access
Hy3 Preview
Open Weight
Muse Spark
Proprietary
License
Hy3 Preview
Open Weight
Muse Spark
Proprietary
Release date
Hy3 Preview
2026-04-23
Muse Spark
2026-04-08
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- Muse Spark has the higher public score, 70.48 versus 42.8, and the 90% score intervals do not overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Muse Spark has the larger documented window (262K).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence27 rows
Agentic
Terminal-Bench 2.0
Hy3 Preview54.4%SourceMuse Spark59%SourceMuse Spark leads this result
Gert Labs
Hy3 Preview36.91%SourceMuse Spark—Not directly comparable
τ²-bench results
Hy3 Preview—Muse Spark91.5%SourceNot directly comparable
DeepSearchQA
Hy3 Preview—Muse Spark74.8%SourceNot directly comparable
CyberGym
Hy3 Preview—Muse Spark43.5%SourceNot directly comparable
Claw-Eval
Hy3 Preview—Muse Spark63.8%SourceNot directly comparable
Coding
SWE-bench Verified
Hy3 Preview74.4%SourceMuse Spark77.4%SourceMuse Spark leads this result
Terminal-Bench 2.0
Hy3 Preview54.4%SourceMuse Spark—Not directly comparable
SWE-bench Pro
Hy3 Preview—Muse Spark52.4%SourceNot directly comparable
LiveCodeBench Pro
Hy3 Preview—Muse Spark80.0%SourceNot directly comparable
Vibe Code Bench
Hy3 Preview—Muse Spark19.67%SourceNot directly comparable
Reasoning
ARC-AGI-2
Hy3 Preview—Muse Spark42.5%SourceNot directly comparable
Knowledge
GPQA
Hy3 Preview87.2%SourceMuse Spark—Not directly comparable
GPQA-D
Hy3 Preview87.2%SourceMuse Spark89.5%SourceMuse Spark leads this result
HLE
Hy3 Preview—Muse Spark50.4%SourceNot directly comparable
HLE w/o tools
Hy3 Preview—Muse Spark42.8%SourceNot directly comparable
HealthBench Hard
Hy3 Preview—Muse Spark42.8%SourceNot directly comparable
MedXpertQA (Text)
Hy3 Preview—Muse Spark52.6%SourceNot directly comparable
Math
Multimodal
CharXiv
Hy3 Preview—Muse Spark86.4%SourceNot directly comparable
MMMU-Pro
Hy3 Preview—Muse Spark80.4%SourceNot directly comparable
ERQA
Hy3 Preview—Muse Spark64.7%SourceNot directly comparable
SimpleVQA
Hy3 Preview—Muse Spark71.3%SourceNot directly comparable
ScreenSpot Pro
Hy3 Preview—Muse Spark84.1%SourceNot directly comparable
ZeroBench
Hy3 Preview—Muse Spark33.0%SourceNot directly comparable
MedXpertQA (MM)
Hy3 Preview—Muse Spark78.4%SourceNot directly comparable
Frequently asked questions
Which is better, Hy3 Preview or Muse Spark?
Muse Spark has the higher public score, 70.48 versus 42.8, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, Hy3 Preview or Muse Spark?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Hy3 Preview or Muse Spark?
Muse Spark leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.
Which costs less, Hy3 Preview or Muse Spark?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Hy3 Preview or Muse Spark?
Muse Spark has the larger documented context window: 262K, compared with 256K.
Related comparisons
Last updated August 7, 2026
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