Multimodal
Like-for-like- Claude Opus 5
- 66.9
- Hy4 preview
- 66.2
- Weighted basis
- 1 vs 1 rows
- Reading
- Claude Opus 5 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
Claude Opus 5 has the higher public score estimate, 83.06 versus 79.16, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
12 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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
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
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.
2 categories use 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 | Claude Opus 5 | Hy4 preview | Weighted basis | Reading |
|---|---|---|---|---|
| Multimodal | 66.9 | 66.2 | Like-for-like1 vs 1 rows | Claude Opus 5 leads |
| Coding | 89.5 | 65.7 | Directional only2 vs 1 rows | Directional only |
| Knowledge | 64.7 | 60.4 | Directional only1 vs 2 rows | Directional only |
| Agentic | 90.8 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Reasoning | 90.4 | Not measured | Not comparable1 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 |
| 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.
SWE-bench Pro
Coding
HLE
Knowledge
OfficeQA Pro
Multimodal
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.
50K fresh input + 3K output tokens
Hy4 preview has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Hy4 preview 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.
Claude Opus 5
Hy4 preview
Claude Opus 5
claude-opus-5
Anthropic model overviewHy4 preview
tencent/Hy4-preview
Tencent Hy4 preview model cardA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Opus 5
$0.5 per 1M cached input tokens
Claude API pricingHy4 preview
No comparable hosted API rate
Tencent Hy4 preview model cardClaude Opus 5
text, image
Anthropic model overviewHy4 preview
Not sourced
Claude Opus 5
Hy4 preview
Not sourced
Claude Opus 5
Generally Available · Claude API
Anthropic model overviewHy4 preview
Not sourced
Claude Opus 5
Reasoning
Hy4 preview
Reasoning
Claude Opus 5
Proprietary
Hy4 preview
Open Weight
Claude Opus 5
Proprietary
Hy4 preview
Open Weight
Claude Opus 5
2026-07-24
Hy4 preview
2026-08-28
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 3.0
Not directly comparable
BrowseComp
Not directly comparable
HLE w/ tools
Claude Opus 5 leads this result
DeepSearchQA
Not directly comparable
DRACO
Claude Opus 5 leads this result
BrowseComp (10-agent, prerelease)
Not directly comparable
OSWorld 2.0
Not directly comparable
MCP Atlas
Claude Opus 5 leads this result
MCP-Atlas claim coverage
Not directly comparable
LAB all-pass (Anthropic harness)
Not directly comparable
LAB criterion-pass (Anthropic harness)
Not directly comparable
LAB all-pass (Harvey held-out)
Not directly comparable
LAB criterion-pass (Harvey held-out)
Not directly comparable
Toolathlon-Verified
Claude Opus 5 leads this result
Toolathlon Verified Pass@3
Not directly comparable
Toolathlon Verified Pass³
Not directly comparable
Toolathlon Verified avg. turns
Not directly comparable
AutomationBench
Hy4 preview leads this result
Terminal-Bench 2.1
Not directly comparable
CyberGym
Not directly comparable
WideResearch
Not directly comparable
APEX-Agents
Not directly comparable
skillsBench
Not directly comparable
JobBench
Not directly comparable
Agents' Last Exam
Not directly comparable
BankerToolBench
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE-bench Pro
Claude Opus 5 leads this result
SWE Multilingual
Claude Opus 5 leads this result
SWE Multimodal
Not directly comparable
deepSwe
Claude Opus 5 leads this result
FrontierCode 1.1 Main
Not directly comparable
FrontierCode 1.1 Extended
Not directly comparable
ProgramBench (episode 1)
Not directly comparable
ProgramBench
Claude Opus 5 leads this result
cursorBench32
Not directly comparable
VulcanBench v3
Not directly comparable
VulcanBench CII v1
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
NL2Repo
Not directly comparable
PostTrain Bench
Not directly comparable
sweMarathon
Not directly comparable
HLE
Claude Opus 5 leads this result
HLE w/o tools
Claude Opus 5 leads this result
HealthBench (raw)
Not directly comparable
HealthBench (length-adjusted)
Not directly comparable
HealthBench Professional
Not directly comparable
HealthBench Professional (raw)
Not directly comparable
BioMysteryBench (human-solvable)
Not directly comparable
BioMysteryBench (human-difficult)
Not directly comparable
SpatialBench Verified
Not directly comparable
SingleCellBench
Not directly comparable
ProteinGym Hard
Not directly comparable
Protein Design
Not directly comparable
Organic chemistry V2
Not directly comparable
Protocols (troubleshooting)
Not directly comparable
Protocols (understanding)
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Not directly comparable
IMO 2026
Not directly comparable
RiemannBench (no tools)
Not directly comparable
RiemannBench (tools)
Not directly comparable
ArXivMath Jun. 2026 (no tools)
Not directly comparable
ArXivMath Jun. 2026 (tools)
Not directly comparable
Apex
Not directly comparable
Chartography (no tools)
Not directly comparable
Chartography (tools)
Not directly comparable
BenchCAD Vision2Code (no tools)
Not directly comparable
BenchCAD Vision2Code (tools)
Not directly comparable
GDP.pdf (no tools)
Not directly comparable
GDP.pdf (tools)
Not directly comparable
OfficeQA
Not directly comparable
OfficeQA Pro
Claude Opus 5 leads this result
Claude Opus 5 has the higher public score estimate, 83.06 versus 79.16, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
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.
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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