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ModelScale

Claude 4.1 Opus

Anthropic · Proprietary · rank 162 · bench-align-v5

Compare this model Model a workload
Canonical idclaude-4-1-opus
Overall score42.02
Context window200K tokens
Release date2025-08-01
Access typeProprietary
Blended $/1M$30.0075% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

AgenticUnavailable
Coding55.1
KnowledgeUnavailable
ReasoningUnavailable
Multimodal & GroundedUnavailable
Instruction FollowingUnavailable
MathUnavailable

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: Observed

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first token1.66 s2026-09-172026-09-17
Throughput29 tok/s2026-09-172026-09-17

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokens$15.00
Output / 1M tokens$75.00
Cache read / 1M tokensUnavailable
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)$30.00
Self-hosted listingAnthropic's pricing docs list Claude Opus 4.1 at $15 input / $75 output per million tokens.The rates above are a hosted price matched from another provider, not a first-party list price.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly cost$84.48
Modelled tokens2.82M
Open the simulatorChange this workload

Benchmark record

4 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index
18.6Cross-benchmark intelligence indexDisplay-only external referenceArtificial Analysis

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
SWE-bench Verified
Software Engineering Benchmark Verified
74.5500 verified issuesProfessional software engineeringSWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
JobBench
JobBench
21.9130 tasks across 35 occupationsProfessional multi-source workflowsJobBench: Aligning Agent Work With Human Will

Multimodal & Grounded

Multimodal & Grounded benchmarks
BenchmarkValueTasksDifficultyProvenance
Design Arena Website
Design Arena Website Elo
1189Website generation comparisonsDesign and website generationOpenRouter Grok 4.3 benchmarks

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.