Claude 3.5 Haiku vs o3 Deep Research
Claude 3.5 Haiku (2024) and o3 Deep Research (2025) are frontier-tier reasoning models from Anthropic and OpenAI. Claude 3.5 Haiku ships a 200k-token context window, while o3 Deep Research ships a 200k-token context window. On pricing, Claude 3.5 Haiku costs $0.80/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Claude 3.5 Haiku is ~1150% cheaper at $0.80/1M; pay for o3 Deep Research only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Claude 3.5 Haiku | o3 Deep Research |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 200k | 200k |
| Cheapest output | $4/1M tokens | $40/1M tokens |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Claude 3.5 Haiku has the lower cheapest tracked output price at $4/1M tokens.
- Claude 3.5 Haiku has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.5 Haiku uniquely exposes Code execution in local model data.
- Local decision data tags Claude 3.5 Haiku for Coding, RAG, and Agents.
- o3 Deep Research uniquely exposes Multimodal, Function calling, and Tool use in local model data.
- Local decision data tags o3 Deep Research for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude 3.5 Haiku
$1,640
Cheapest tracked route/tier: Anthropic
o3 Deep Research
$18,000
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $16,360. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- o3 Deep Research is $36/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- o3 Deep Research adds Multimodal, Function calling, and Tool use in local capability data.
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- Claude 3.5 Haiku is $36/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal, Function calling, and Tool use before moving production traffic.
- Claude 3.5 Haiku adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-22 | 2025-10-10 |
| Context window | 200k | 200k |
| Parameters | — | — |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2024-06 |
Pricing and availability
| Pricing attribute | Claude 3.5 Haiku | o3 Deep Research |
|---|---|---|
| Input price | $0.80/1M tokens | $10/1M tokens |
| Output price | $4/1M tokens | $40/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.5 Haiku | o3 Deep Research |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on multimodal input: o3 Deep Research, function calling: o3 Deep Research, tool use: o3 Deep Research, and code execution: Claude 3.5 Haiku. Both models share vision, reasoning mode, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Claude 3.5 Haiku lists $0.80/1M input and $4/1M output tokens on the cheapest tracked provider, while o3 Deep Research lists $10/1M input and $40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Claude 3.5 Haiku lower by about $17.24 per million blended tokens. Availability is 6 providers versus 1, so concentration risk also matters.
Choose Claude 3.5 Haiku when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose o3 Deep Research when vision-heavy evaluation 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.
FAQ
Which has a larger context window, Claude 3.5 Haiku or o3 Deep Research?
Claude 3.5 Haiku supports 200k tokens, while o3 Deep Research 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 3.5 Haiku or o3 Deep Research?
Claude 3.5 Haiku is cheaper on tracked token pricing. Claude 3.5 Haiku costs $0.80/1M input and $4/1M output tokens. o3 Deep Research costs $10/1M input and $40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.5 Haiku or o3 Deep Research open source?
Claude 3.5 Haiku is listed under Proprietary. o3 Deep Research 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 3.5 Haiku or o3 Deep Research?
Both Claude 3.5 Haiku and o3 Deep Research expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Claude 3.5 Haiku or o3 Deep Research?
o3 Deep Research has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude 3.5 Haiku and o3 Deep Research?
Claude 3.5 Haiku is available on Anthropic, OpenRouter, AWS Bedrock, GCP Vertex AI, and Replicate API. o3 Deep Research is available on Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.