LLM Reference

Claude 3.5 Haiku vs Command R

Claude 3.5 Haiku (2024) and Command R (2024) are frontier reasoning models from Anthropic and Cohere. Claude 3.5 Haiku ships a 200k-token context window, while Command R ships a 128k-token context window. On pricing, Command R costs $0.15/1M input tokens versus $0.80/1M 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.

Command R is ~433% cheaper at $0.15/1M; pay for Claude 3.5 Haiku only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude 3.5 HaikuCommand R
Best forreasoning-heavy apps, multimodal apps, and provider-routed productionprovider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Long context
Context window200k128k
Cheapest output$4/1M tokens$0.60/1M tokens
Provider routes6 tracked6 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Claude 3.5 Haiku when...
  • Claude 3.5 Haiku has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude 3.5 Haiku uniquely exposes Vision, Reasoning, and Code execution in local model data.
  • Local decision data tags Claude 3.5 Haiku for Coding, RAG, and Agents.
Choose Command R when...
  • Command R has the lower cheapest tracked output price at $0.60/1M tokens.
  • Local decision data tags Command R for Coding, RAG, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Command R

Claude 3.5 Haiku

$1,640

Cheapest tracked route/tier: Anthropic

Command R

$270

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $1,370. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude 3.5 Haiku -> Command R
  • Provider overlap exists on AWS Bedrock and OpenRouter; start route-level A/B tests there.
  • Command R is $3.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Reasoning, and Code execution before moving production traffic.
Command R -> Claude 3.5 Haiku
  • Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
  • Claude 3.5 Haiku is $3.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude 3.5 Haiku adds Vision, Reasoning, and Code execution in local capability data.

Specs

Specification
Released2024-10-222024-04-04
Context window200k128k
Parameters104B*
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryCC-BY-NC-4.0
OpennessProprietaryOpen weights
Commercial useCommercial use: conditionalCommercial use: non-commercial
Knowledge cutoff--

Pricing and availability

Pricing attributeClaude 3.5 HaikuCommand R
Input price$0.80/1M tokens$0.15/1M tokens
Output price$4/1M tokens$0.60/1M tokens
Providers

Capabilities

CapabilityClaude 3.5 HaikuCommand R
VisionYesNo
MultimodalNoNo
ReasoningYesNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: Claude 3.5 Haiku, reasoning mode: Claude 3.5 Haiku, and code execution: Claude 3.5 Haiku. Both models share 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 Command R lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Command R lower by about $1.47 per million blended tokens. Availability is 6 providers versus 6, so concentration risk also matters.

Choose Claude 3.5 Haiku when coding workflow support and larger context windows are central to the workload. Choose Command R when provider fit and lower input-token cost 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 3.5 Haiku or Command R?

Claude 3.5 Haiku supports 200k tokens, while Command R supports 128k 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 Command R?

Command R is cheaper on tracked token pricing. Claude 3.5 Haiku costs $0.80/1M input and $4/1M output tokens. Command R costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude 3.5 Haiku or Command R open source?

Claude 3.5 Haiku is listed under Proprietary. Command R is listed under CC-BY-NC-4.0. 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 Command R?

Claude 3.5 Haiku has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Claude 3.5 Haiku or Command R?

Claude 3.5 Haiku has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 Command R?

Claude 3.5 Haiku is available on Anthropic, OpenRouter, AWS Bedrock, GCP Vertex AI, and Replicate API. Command R is available on AWS Bedrock, Cohere API, Microsoft Foundry, OCI Generative AI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.