AI & LLMs

April 29, 2026

I compared 4 Chinese AI models against GPT-5.5 and Claude Opus 4.7 — the price gap is still absurd (2026)

DeepSeek V4, Kimi K2.6, Qwen 3.6, and GLM-5.1 cost a fraction of GPT-5.5 and Claude. I benchmarked them on coding, writing, and reasoning.

While GPT-5.5 and Claude Opus 4.7 dominate the headlines, Chinese AI labs have been shipping cutting-edge models at a fraction of the price. DeepSeek is now on V4, Kimi on K2.6, Qwen on 3.6, GLM on 5.1 — and the pricing gap remains enormous.

Here’s what builders need to know.

The contenders

ModelCompanyContextOpen Source
DeepSeek V4DeepSeek1MYes
Kimi K2.6Moonshot AI1M+No
Qwen 3.6Alibaba128KPartial
GLM-5.1Zhipu AI128KYes

DeepSeek V4 — The price-performance leader

DeepSeek V4 comes in two tiers: Flash and Pro. Flash is the workhorse, Pro is the heavy lifter. Both support 1M token context, thinking and non-thinking modes, tool calling, and JSON structured output.

V4 Flash:

V4 Pro:

What’s good:

What’s missing:

Price (V4 Flash): $0.14/M input, $0.28/M output. GPT-5.5: ~$5/$25. 97% cheaper.

Kimi K2.6 — Multimodal with the longest context

Moonshot AI’s Kimi K2.6 is the latest in their long-context lineage, now adding vision input to the 1M+ token window.

What’s good:

What’s missing:

Qwen 3.6 — Alibaba’s full-stack AI

Qwen 3.6 is Alibaba’s latest flagship, backed by the massive Qwen open source ecosystem ranging from 0.5B to 72B+ parameters.

What’s good:

What’s missing:

GLM-5.1 — The enterprise agent specialist

Zhipu AI’s GLM-5.1 is purpose-built for structured reasoning, tool use, and enterprise agent workflows.

What’s good:

What’s missing:

Cost comparison (per 1M tokens)

InputOutputvs GPT-5.5
GPT-5.5~$5.00~$25.00
Claude Opus 4.7$5.00$25.00Same tier
Claude Sonnet 4.6$3.00$15.0040% less
Claude Haiku 4.5$1.00$5.0080% less
DeepSeek V4 Flash$0.14$0.2897% less
DeepSeek V4 Pro (75% off)$0.44$0.8791% less
Kimi K2.6~$0.70~$1.4086% less
Qwen 3.6~$0.55~$2.2089% less
GLM-5.1~$0.55~$0.5592% less

For a startup processing 100M tokens/month, switching from Claude Opus 4.7 to DeepSeek V4 Flash saves ~$2,400/month. For 1B tokens, that’s $24,000/month — real engineering headcount money.

When to use which

Use DeepSeek V4 Flash if: You want the best price-performance ratio in AI right now. 1M context, thinking mode, 97% cheaper than GPT-5.5. The default choice for most builders.

Use DeepSeek V4 Pro if: You need higher quality on complex tasks and the 75% discount makes it a steal.

Use Kimi K2.6 if: You process documents with mixed text and images. The vision + 1M context combo is unique.

Use Qwen 3.6 if: You need a model family to fine-tune and deploy on your own infrastructure. The open source ecosystem is unmatched.

Use GLM-5.1 if: You’re building autonomous agent workflows that need reliable tool calling and structured output.

Stick with GPT-5.5/Claude Opus 4.7 if: You need the absolute best agentic coding, enterprise compliance, or the plugin ecosystem.


Chinese AI models in 2026 are not “good enough for the price” — they’re genuinely competitive on quality while being 10-50x cheaper. If you’re building AI features, you should at minimum run your eval suite on DeepSeek V4. The cost difference is too large to ignore.

More Chinese AI tool comparisons at ToolBridge — no hype, just data.

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