LLM Reference

Claude Haiku 4.5 vs Tencent Hunyuan Turbo S

Claude Haiku 4.5 (2025) and Tencent Hunyuan Turbo S (2026) are general-purpose language models from Anthropic and Tencent AI Lab. Claude Haiku 4.5 ships a 200k-token context window, while Tencent Hunyuan Turbo S ships a 200k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Tencent Hunyuan Turbo S is safer overall; choose Claude Haiku 4.5 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalClaude Haiku 4.5Tencent Hunyuan Turbo S
Best formultimodal apps, tool-calling agents, and provider-routed productiongeneral production evaluation
Decision fitCoding, RAG, and AgentsLong context
Context window200k200k
Cheapest output$4/1M tokens-
Provider routes8 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Claude Haiku 4.5 when...
  • Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude Haiku 4.5 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
Choose Tencent Hunyuan Turbo S when...
  • Local decision data tags Tencent Hunyuan Turbo S for Long context.

Monthly cost at traffic

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

Claude Haiku 4.5

$1,640

Cheapest tracked route/tier: AWS Bedrock

Tencent Hunyuan Turbo S

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Claude Haiku 4.5 -> Tencent Hunyuan Turbo S
  • No overlapping tracked provider route is sourced for Claude Haiku 4.5 and Tencent Hunyuan Turbo S; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Tencent Hunyuan Turbo S -> Claude Haiku 4.5
  • No overlapping tracked provider route is sourced for Tencent Hunyuan Turbo S and Claude Haiku 4.5; plan for SDK, billing, or endpoint changes.
  • Claude Haiku 4.5 adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2025-10-012026-01-10
Context window200k200k
Parameters
Architecturedecoder only-
LicenseProprietaryTencent Hunyuan Community License
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff2025-02-

Pricing and availability

Pricing attributeClaude Haiku 4.5Tencent Hunyuan Turbo S
Input price$0.80/1M tokens-
Output price$4/1M tokens-
Providers-

Capabilities

CapabilityClaude Haiku 4.5Tencent Hunyuan Turbo S
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude Haiku 4.5, multimodal input: Claude Haiku 4.5, function calling: Claude Haiku 4.5, tool use: Claude Haiku 4.5, structured outputs: Claude Haiku 4.5, and code execution: Claude Haiku 4.5. Both models share the core language-model surface, 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.

Pricing coverage is uneven: Claude Haiku 4.5 has $0.80/1M input tokens and Tencent Hunyuan Turbo S has no token price sourced yet. Provider availability is 8 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Claude Haiku 4.5 when coding workflow support and broader provider choice are central to the workload. Choose Tencent Hunyuan Turbo S when provider fit 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 Haiku 4.5 or Tencent Hunyuan Turbo S?

Claude Haiku 4.5 supports 200k tokens, while Tencent Hunyuan Turbo S supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Claude Haiku 4.5 or Tencent Hunyuan Turbo S open source?

Claude Haiku 4.5 is listed under Proprietary. Tencent Hunyuan Turbo S is listed under Tencent Hunyuan Community License. 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 Tencent Hunyuan Turbo S?

Claude Haiku 4.5 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 multimodal input, Claude Haiku 4.5 or Tencent Hunyuan Turbo S?

Claude Haiku 4.5 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.

Which is better for function calling, Claude Haiku 4.5 or Tencent Hunyuan Turbo S?

Claude Haiku 4.5 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Claude Haiku 4.5 and Tencent Hunyuan Turbo S?

Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. Tencent Hunyuan Turbo S is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.