anthropic
Anthropic: Claude Haiku 5.5 (batch)
anthropic/claude-haiku-5.5:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog lists anthropic/claude-haiku-5.5:batch as an Anthropic text-output model accepting text, image, and file inputs, with a large context window and configurable reasoning effort. The catalog description positions it as small and fast for high-volume, cost-sensitive work such as summarization, subagents, and browser use. OpenRouter also reports limited Design Arena results and an intelligence index, but the evidence is catalog-only, so real workload validation remains necessary.[1]
Strengths
- Accepts text, image, and file inputs while producing text, according to the OpenRouter catalog.[1]
- OpenRouter lists a very large context window and optional reasoning with several selectable effort levels.[1]
- The catalog lists support for tools, tool choice, structured outputs, and response formatting.[1]
Limitations
- Only an OpenRouter catalog entry was supplied; no independent model card was available in this source pack, so capabilities should be verified with the provider.[1]
- Measured evidence is narrow: OpenRouter lists Design Arena outcomes across selected design-related categories and an intelligence index, while coding and agentic index values are absent.[1]
- The catalog does not describe batch-specific latency, throughput, retention, or operational limits for this exact variant; workload validation is required before adoption.[1]
Where to use it
- Consider high-volume summarization pipelines where the catalog's cost-sensitive positioning fits; validate quality and latency first.[1]
- A candidate for delegated subagent work or browser-use workflows, as suggested by the catalog description rather than proven performance.[1]
- Potentially useful for reviewing mixed text, image, and file inputs or drafting text from large inputs; test prompt reliability, tool use, and output quality.[1]
Sources
- [1] OpenRouter catalog · Anthropic: Claude Haiku 5.5 (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
Specifications
- Model ID
- anthropic/claude-haiku-5.5:batch
- Canonical ID
- anthropic/claude-haiku-5.5-20261007
- Creator
- anthropic
- Added to OpenRouter
- 07.10.2026
- Context length
- 1,000,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.050 / out $0.250
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | AA — next 20% of the cohort | reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 36.5 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 55.8% · rank 14 | 1,327Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 50.9% · rank 22 | 1,216Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 50.3% · rank 25 | 1,278Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 50.4% · rank 19 | 1,279Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 52.5% · rank 14 | 1,316Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 43.4% · rank 31 | 1,194Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 50.8% · rank 30 | 1,274Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 48.2% · rank 41 | 1,254Elo | BB — next 30% of the cohort | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Anthropic | 1,000,000 | $0.050 | $0.250 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.