Claude Haiku 4.5 vs GPT-5.5 Instant
Claude Haiku 4.5 (2025) and GPT-5.5 Instant (2026) are general-purpose language models from Anthropic and OpenAI. Claude Haiku 4.5 ships a 200k-token context window, while GPT-5.5 Instant ships a 400K-token context window. On pricing, Claude Haiku 4.5 costs $0.8/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Claude Haiku 4.5 is ~525% cheaper at $0.8/1M; pay for GPT-5.5 Instant only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude Haiku 4.5 | GPT-5.5 Instant |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 400K |
| Cheapest output | $4/1M tokens | $30/1M tokens |
| Provider routes | 7 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Haiku 4.5 has the lower cheapest tracked output price at $4/1M tokens.
- Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
- GPT-5.5 Instant has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags GPT-5.5 Instant for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Claude Haiku 4.5
$1,640
Cheapest tracked route: AWS Bedrock
GPT-5.5 Instant
$11,500
Cheapest tracked route: OpenAI API
Estimated monthly gap: $9,860. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Claude Haiku 4.5 and GPT-5.5 Instant; plan for SDK, billing, or endpoint changes.
- GPT-5.5 Instant is $26/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- No overlapping tracked provider route is sourced for GPT-5.5 Instant and Claude Haiku 4.5; plan for SDK, billing, or endpoint changes.
- Claude Haiku 4.5 is $26/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-05-05 |
| Context window | 200k | 400K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-02 | 2025-08 |
Pricing and availability
| Pricing attribute | Claude Haiku 4.5 | GPT-5.5 Instant |
|---|---|---|
| Input price | $0.8/1M tokens | $5/1M tokens |
| Output price | $4/1M tokens | $30/1M tokens |
| Providers |
Capabilities
| Capability | Claude Haiku 4.5 | GPT-5.5 Instant |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover vision, multimodal input, function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Claude Haiku 4.5 lists $0.8/1M input and $4/1M output tokens, while GPT-5.5 Instant lists $5/1M input and $30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Claude Haiku 4.5 lower by about $10.74 per million blended tokens. Availability is 7 providers versus 1, so concentration risk also matters.
Choose Claude Haiku 4.5 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.5 Instant when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Claude Haiku 4.5 or GPT-5.5 Instant?
GPT-5.5 Instant supports 400K tokens, while Claude Haiku 4.5 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude Haiku 4.5 or GPT-5.5 Instant?
Claude Haiku 4.5 is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.8/1M input and $4/1M output tokens. GPT-5.5 Instant costs $5/1M input and $30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Haiku 4.5 or GPT-5.5 Instant open source?
Claude Haiku 4.5 is listed under Proprietary. GPT-5.5 Instant is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude Haiku 4.5 or GPT-5.5 Instant?
Both Claude Haiku 4.5 and GPT-5.5 Instant expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Claude Haiku 4.5 or GPT-5.5 Instant?
Both Claude Haiku 4.5 and GPT-5.5 Instant expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Claude Haiku 4.5 and GPT-5.5 Instant?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. GPT-5.5 Instant is available on OpenAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.