Coding
Like-for-like- Hy4 preview
- 65.7
- Muse Spark 1.1
- 61.5
- Weighted basis
- 1 vs 1 rows
- Reading
- Hy4 preview leads
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start the free Radar BriefUpdated August 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Hy4 preview has the higher public score estimate, 79.16 versus 77.14, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
6 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Code generation, repair, and software-engineering tasks
Hy4 preview
Hy4 preview leads on the same 1 weighted benchmark row.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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
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
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
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Hy4 preview | Muse Spark 1.1 | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 65.7 | 61.5 | Like-for-like1 vs 1 rows | Hy4 preview leads |
| Knowledge | 60.4 | 62.1 | Directional only2 vs 1 rows | Directional only |
| Agentic | Not measured | 80.4 | Not comparable0 vs 2 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 66.2 | 88.4 | Not comparable1 vs 1 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
HLE
Knowledge
SWE-bench Pro
Coding
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.
1K fresh input + 500 output tokens
Hy4 preview has no comparable published API token rate. Muse Spark 1.1 has no comparable published API token rate.
50K fresh input + 3K output tokens
Hy4 preview has no comparable published API token rate. Muse Spark 1.1 has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Hy4 preview has no comparable published API token rate. Muse Spark 1.1 has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Hy4 preview
Muse Spark 1.1
1M
Hy4 preview
tencent/Hy4-preview
Tencent Hy4 preview model cardMuse Spark 1.1
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Hy4 preview
No comparable hosted API rate
Tencent Hy4 preview model cardMuse Spark 1.1
No comparable hosted API rate
Hy4 preview
Not sourced
Muse Spark 1.1
Not sourced
Hy4 preview
Not sourced
Muse Spark 1.1
Not sourced
Hy4 preview
Not sourced
Muse Spark 1.1
Not sourced
Hy4 preview
Reasoning
Muse Spark 1.1
Reasoning
Hy4 preview
Open Weight
Muse Spark 1.1
Proprietary
Hy4 preview
Open Weight
Muse Spark 1.1
Proprietary
Hy4 preview
2026-08-28
Muse Spark 1.1
2026-07-09
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.1
Not directly comparable
CyberGym
Hy4 preview leads this result
WideResearch
Not directly comparable
DRACO
Not directly comparable
MCP Atlas
Muse Spark 1.1 leads this result
Toolathlon-Verified
Not directly comparable
APEX-Agents
Not directly comparable
skillsBench
Not directly comparable
JobBench
Hy4 preview leads this result
Agents' Last Exam
Not directly comparable
AutomationBench
Not directly comparable
BankerToolBench
Not directly comparable
HLE w/ tools
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
Toolathlon
Not directly comparable
OSWorld-Verified
Not directly comparable
WebArena-Verified
Not directly comparable
DeepSearchQA
Not directly comparable
Finance Agent v2
Not directly comparable
deepSwe
Not directly comparable
OSWorld 2.0
Not directly comparable
Cybench
Not directly comparable
ExploitGym
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
SWE-bench Pro
Hy4 preview leads this result
SWE Multilingual
Not directly comparable
deepSwe
Not directly comparable
NL2Repo
Not directly comparable
ProgramBench
Not directly comparable
PostTrain Bench
Not directly comparable
sweMarathon
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Not directly comparable
HLE
Muse Spark 1.1 leads this result
HLE w/o tools
Muse Spark 1.1 leads this result
HealthBench Professional
Not directly comparable
Apex
Not directly comparable
Hy4 preview has the higher public score estimate, 79.16 versus 77.14, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Hy4 preview leads the like-for-like coding comparison across 1 shared weighted benchmark row.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Both models list the same context window, 1M.
Last updated August 28, 2026
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