LLM Reference

GPT-4 vs Tencent Hunyuan Turbo S

GPT-4 (2023) and Tencent Hunyuan Turbo S (2026) are compact production models from OpenAI and Tencent AI Lab. GPT-4 ships a 8k-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. It focuses on practical selection signals rather than broad model-family marketing.

Tencent Hunyuan Turbo S fits 25x more tokens; pick it for long-context work and GPT-4 for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-4Tencent Hunyuan Turbo S
Best formultimodal apps, tool-calling agents, and provider-routed productiongeneral production evaluation
Decision fitCoding, Agents, and VisionLong context
Context window8k200k
Cheapest output$60/1M tokens-
Provider routes4 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-4 when...
  • GPT-4 has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags GPT-4 for Coding, Agents, and Vision.
Choose Tencent Hunyuan Turbo S when...
  • Tencent Hunyuan Turbo S has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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.

GPT-4

$39,000

Cheapest tracked route/tier: OpenAI API

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

GPT-4 -> Tencent Hunyuan Turbo S
  • No overlapping tracked provider route is sourced for GPT-4 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 -> GPT-4
  • No overlapping tracked provider route is sourced for Tencent Hunyuan Turbo S and GPT-4; plan for SDK, billing, or endpoint changes.
  • GPT-4 adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2023-03-142026-01-10
Context window8k200k
Parameters1.76T (8x222B MoE)*
Architecturemixture of experts-
LicenseProprietaryTencent Hunyuan Community License
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff2021-09-

Pricing and availability

Pricing attributeGPT-4Tencent Hunyuan Turbo S
Input price$30/1M tokens-
Output price$60/1M tokens-
Providers-

Capabilities

CapabilityGPT-4Tencent Hunyuan Turbo S
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useNoNo
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: GPT-4, multimodal input: GPT-4, function calling: GPT-4, structured outputs: GPT-4, and code execution: GPT-4. 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: GPT-4 has $30/1M input tokens and Tencent Hunyuan Turbo S has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-4 when coding workflow support and broader provider choice are central to the workload. Choose Tencent Hunyuan Turbo S when long-context analysis 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, GPT-4 or Tencent Hunyuan Turbo S?

Tencent Hunyuan Turbo S supports 200k tokens, while GPT-4 supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is GPT-4 or Tencent Hunyuan Turbo S open source?

GPT-4 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, GPT-4 or Tencent Hunyuan Turbo S?

GPT-4 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, GPT-4 or Tencent Hunyuan Turbo S?

GPT-4 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, GPT-4 or Tencent Hunyuan Turbo S?

GPT-4 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 GPT-4 and Tencent Hunyuan Turbo S?

GPT-4 is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, and OpenRouter. 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: 2026-05-19. Data sourced from public model cards and provider documentation.