Updated November 6, 2026. Rank says Claude Opus 5.5 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Claude Opus 5.5 has the higher public score, 86.32 versus 48.08, and the 90% score intervals do not overlap. 6 results are shared. Category rows resting on Estimated evidence or 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
Claude Opus 5.5
Claude Opus 5.5 has the higher public coding point estimate, 82.8 to 33.6, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Tool use, computer use, and multi-step task completion
Claude Opus 5.5
Claude Opus 5.5 has the higher public agentic point estimate, 89.3 to 36.5, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
1K fresh input + 500 output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Like-for-like · BenchAlign v5.8
Claude Opus 5.5 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
FrontierMath v2 (Tier 4)Math
Normalized gap 90.1FrontierMath v2 (Tiers 1-3)Math
Normalized gap 57.9SWE-bench ProCoding
Normalized gap 35.6HLE w/o toolsKnowledge
Normalized gap 34.4Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Claude Opus 5.5 | Inkling | Basis | Reading |
|---|---|---|---|---|
| Agentic | 89.3Supported · #1/131 | 36.5Supported · #78/131 | Like-for-likeBenchAlign v5.8 lane · 17 vs 5 public rows | Claude Opus 5.5 leads |
| Coding | 82.8Supported · #1/157 | 33.6Supported · #94/157 | Like-for-likeBenchAlign v5.8 lane · 13 vs 6 public rows | Claude Opus 5.5 leads |
| Knowledge | 89.4Supported · #1/178 | 50.9Supported · #79/178 | Like-for-likeBenchAlign v5.8 lane · 16 vs 6 public rows | Claude Opus 5.5 leads |
| Multimodal | 91.6#3/59 | 65.6#43/59 | Directional onlyProvisional lane · 1 vs 2 weighted rows | Directional only |
| Reasoning | 84.4#4/25 | 76.4Unranked · 2 rankable rows | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 87.6#40/157 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Math | 93.8Unranked · 4 rankable rows | 54.8#9/12 | Not comparableProvisional lane · 2 vs 3 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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
Inkling has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
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 5.5
Inkling
1M
Claude Opus 5.5
claude-opus-5-5
Anthropic Claude Opus 5.5 model documentationInkling
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Opus 5.5
$0.2 per 1M cached input tokens
Claude Opus 5.5 model documentationInkling
$0.374 per 1M cached input tokens
Claude Opus 5.5
Inkling
Not sourced
Claude Opus 5.5
Inkling
Not sourced
Claude Opus 5.5
Generally Available · Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, Claude Platform on AWS
Anthropic Claude Opus 5.5 model documentationInkling
Not sourced
Claude Opus 5.5
Reasoning
Inkling
Hybrid
Claude Opus 5.5
Proprietary
Inkling
Open Weight
Claude Opus 5.5
Proprietary
Inkling
Open Weight
Claude Opus 5.5
2026-09-22
Inkling
2026-07-15
Claude Opus 5.5 has the higher public score, 86.32 versus 48.08, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Claude Opus 5.5 has the higher public coding point estimate, 82.8 to 33.6, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Claude Opus 5.5 has the higher public agentic tasks point estimate, 89.3 to 36.5, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
For the stated presets, chat costs $0.014 on Claude Opus 5.5 and $0.00421 on Inkling; repository review costs $0.26 and $0.10754; the cache-heavy agent loop costs $0.32 and $0.159. Costs use the listed standard API rates.
Both models list the same context window, 1M.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 4.0
Not directly comparable
Terminal-Bench-Science 0.1
Not directly comparable
AutomationBench
Not directly comparable
HLE w/ tools
Not directly comparable
OSWorld 2.0
Not directly comparable
LAB all-pass (Harvey held-out)
Not directly comparable
LAB criterion-pass (Harvey held-out)
Not directly comparable
Toolathlon-Verified
Not directly comparable
Toolathlon Verified Pass@3
Not directly comparable
Toolathlon Verified Pass³
Not directly comparable
Toolathlon Verified avg. turns
Not directly comparable
CWE-bench v1
Shared sourceClaude Opus 5.5 leads this result
Hermes Index
Not directly comparable
Hermes Bench
Not directly comparable
MazeBench
Not directly comparable
OSWorld 2.1
Not directly comparable
OSWorld 2.1 Offline
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
BrowseComp
Not directly comparable
MCP Atlas
Not directly comparable
Terminal-Bench 2.1 (Vals)
Not directly comparable
ScarfBench
Not directly comparable
FrontierCode 1.1 Main
Not directly comparable
CursorBench 4.0
Not directly comparable
SWE-bench Pro
Claude Opus 5.5 leads this result
SWE Multilingual
Not directly comparable
SWE Multimodal
Not directly comparable
DeepSWE
Not directly comparable
FrontierCode 1.1 Extended
Not directly comparable
FrontierSWE v2
Shared sourceClaude Opus 5.5 leads this result
ProgramBench
Not directly comparable
PostTrainBench v1.1
Not directly comparable
Bug Hunt Bench
Not directly comparable
FrontierCode 2.0
Not directly comparable
SWE-bench Verified
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
LiveCodeBench (Vals)
Not directly comparable
SWE-bench (Vals)
Not directly comparable
ExtractBench Pro
Not directly comparable
ExtractBench (LlamaIndex)
Not directly comparable
ParseBench
Not directly comparable
Chartography (tools)
Not directly comparable
Chartography (no tools)
Not directly comparable
BenchCAD Vision2Code (no tools)
Not directly comparable
BenchCAD Vision2Code (tools)
Not directly comparable
Biomedical image analysis
Not directly comparable
OfficeQA
Not directly comparable
OfficeQA Pro
Not directly comparable
MMMU-Pro
Not directly comparable
CharXiv
Not directly comparable
CharXiv w/o tools
Not directly comparable
HLE w/o tools
Claude Opus 5.5 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
Morphology-to-molecule matching
Not directly comparable
Medicinal chemistry
Not directly comparable
Protein Design
Not directly comparable
Protein Design library ranking
Not directly comparable
De novo protein-binder design
Not directly comparable
Protocols (troubleshooting)
Not directly comparable
Protocols (understanding)
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Not directly comparable
HLE
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
ArXivMath Aug. 2026 (no tools)
Not directly comparable
ArXivMath Aug. 2026 (tools)
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Shared sourceClaude Opus 5.5 leads this result
FrontierMath v2 (Tier 4)
Shared sourceClaude Opus 5.5 leads this result
AIME26
Not directly comparable
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Last updated November 6, 2026
