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Anthropic vs Tencent: Token Pricing, Speed & Intelligence

Full comparison of Anthropic and Tencent — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Anthropic

Claude — safety-focused frontier AI with exceptional coding ability

Anthropic builds the Claude model family, known for long context windows (up to 200K tokens), strong coding performance, and a safety-first design philosophy. Claude 4 Opus and Sonnet lead on many coding and reasoning benchmarks. Prompt caching is available at significant discounts.

CodingReasoningLong-contextChatAgents
Proprietary models

Tencent

Hunyuan LLMs from China's largest tech company

Tencent offers the Hunyuan series of large language models via its cloud platform. Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks.

ChatCodingMultilingualCost-efficient inference
Proprietary models

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

Live token pricing

Strengths & weaknesses

Anthropic

Top coding benchmark scores (Claude 4 Opus)
200K context window on all Claude models
Aggressive prompt caching — up to 90% discount
Strong instruction-following and safety alignment
Extended thinking / reasoning mode on Opus
No open-weight models — full vendor lock-in
Opus is the most expensive frontier model at $15/$75 per 1M tokens
No native image generation capability

Tencent

Competitive pricing
Strong Chinese-language performance
Large context window
Primarily targets Chinese market
Smaller international ecosystem

Key differentiators

Anthropic

Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.

Tencent

Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.

Frequently asked questions

Anthropic FAQs

How much does the Anthropic Claude API cost?

Claude 4 Opus costs $15/1M input and $75/1M output tokens. Claude Sonnet 4.5 is $3/$15 per 1M tokens. Claude Haiku 3.5 is the budget option at $0.80/$4.00. Prompt caching reduces input costs by up to 90%.

What is the context window for Claude models?

All Claude models support a 200,000-token context window, making them ideal for processing long documents, codebases, or multi-turn conversations without truncation.

How does Anthropic prompt caching work?

Anthropic's prompt caching lets you mark portions of your prompt (system prompts, documents, tool definitions) to be cached server-side. Cached tokens are billed at 10% of the standard input price after the first write, making repeated long-context calls dramatically cheaper.

Tencent FAQs

What is Tencent Hunyuan?

Hunyuan is Tencent's family of large language models, available via the Tencent Cloud API. The latest generation (hy3) supports 262K context and competitive pricing.

Is Tencent Hunyuan available internationally?

Yes. The Hunyuan API is accessible globally via Tencent Cloud, though latency may be higher outside Asia-Pacific regions.

Provider resources

AnthropicClaude — safety-focused frontier AI with exceptional coding ability

Anthropic builds the Claude model family, known for long context windows (up to 200K tokens), strong coding performance, and a safety-first design philosophy. Claude 4 Opus and Sonnet lead on many coding and reasoning benchmarks. Prompt caching is available at significant discounts.

Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.

TencentHunyuan LLMs from China's largest tech company

Tencent offers the Hunyuan series of large language models via its cloud platform. Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks.

Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.

Key strengths compared

Anthropic

  • Top coding benchmark scores (Claude 4 Opus)
  • 200K context window on all Claude models
  • Aggressive prompt caching — up to 90% discount

Tencent

  • Competitive pricing
  • Strong Chinese-language performance
  • Large context window

Provider category context

Anthropic is a frontier lab, founded in 2021. Tencent is a frontier lab, founded in 2023. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Anthropic and Tencent are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Anthropic leads on top coding benchmark scores (claude 4 opus), while Tencent leads on competitive pricing. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.