LLM Reference

Claude Haiku 4.5 vs Trinity-Large-Thinking

Claude Haiku 4.5 (2025) and Trinity-Large-Thinking (2026) are frontier reasoning models from Anthropic and Arcee AI. Claude Haiku 4.5 ships a 200k-token context window, while Trinity-Large-Thinking ships a 256k-token context window. On pricing, Trinity-Large-Thinking costs $0.22/1M 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.

Trinity-Large-Thinking is ~264% cheaper at $0.22/1M; pay for Claude Haiku 4.5 only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude Haiku 4.5Trinity-Large-Thinking
Best formultimodal apps, tool-calling agents, and provider-routed productionreasoning-heavy apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window200k256k
Cheapest output$4/1M tokens$0.85/1M tokens
Provider routes9 tracked3 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Claude Haiku 4.5 when...
  • Claude Haiku 4.5 has broader tracked provider coverage for fallback and route flexibility.
  • Claude Haiku 4.5 uniquely exposes Vision, Multimodal, and Code execution in local model data.
  • Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
Choose Trinity-Large-Thinking when...
  • Trinity-Large-Thinking has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Trinity-Large-Thinking has the lower cheapest tracked output price at $0.85/1M tokens.
  • Trinity-Large-Thinking uniquely exposes Reasoning in local model data.
  • Local decision data tags Trinity-Large-Thinking 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.

Lower estimate Trinity-Large-Thinking

Claude Haiku 4.5

$1,640

Cheapest tracked route/tier: AWS Bedrock

Trinity-Large-Thinking

$389

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $1,252. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Haiku 4.5 -> Trinity-Large-Thinking
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Trinity-Large-Thinking is $3.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
  • Trinity-Large-Thinking adds Reasoning in local capability data.
Trinity-Large-Thinking -> Claude Haiku 4.5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Claude Haiku 4.5 is $3.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Claude Haiku 4.5 adds Vision, Multimodal, and Code execution in local capability data.

Specs

Specification
Released2025-10-012026-04-01
Context window200k256k
Parameters400B
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-02-

Pricing and availability

Pricing attributeClaude Haiku 4.5Trinity-Large-Thinking
Input price$0.80/1M tokens$0.22/1M tokens
Output price$4/1M tokens$0.85/1M tokens
Providers

Capabilities

CapabilityClaude Haiku 4.5Trinity-Large-Thinking
VisionYesNo
MultimodalYesNo
ReasoningNoYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.