AI21 Labs vs Tencent: Token Pricing, Speed & Intelligence
Full comparison of AI21 Labs and Tencent — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
AI21 Labs
Jamba 1.6 — hybrid SSM-Transformer models with 256K context
AI21 Labs develops the Jamba model family, which uses a hybrid SSM (Mamba) and Transformer architecture. Jamba 1.6 Large and Mini offer 256K token context windows at competitive prices. The hybrid architecture delivers faster inference and lower memory usage than pure-Transformer models of comparable size.
Tencent
Hunyuan T1 reasoning model and Hunyuan Turbo — competitive frontier pricing
Tencent offers the Hunyuan series of large language models via its cloud platform. The 2026 lineup includes Hunyuan T1 (frontier reasoning model) and Hunyuan Turbo (fast, cost-efficient tier). Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks at competitive pricing.
Key metric comparison
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Live token pricing
Strengths and weaknesses
AI21 Labs
Tencent
Key differentiators
Jamba's hybrid SSM-Transformer architecture enables 256K context at lower memory and latency cost than pure-Transformer models — with Jamba 1.6 Mini among the cheapest 256K-context options available.
Hunyuan T1 brings frontier reasoning capability to the Tencent Cloud ecosystem, while Hunyuan Turbo offers a 262K context window at competitive pricing for long-context workloads.
Frequently asked questions
AI21 Labs FAQs
What is the Jamba architecture?
Jamba uses a hybrid of Mamba (SSM) and Transformer layers. This reduces memory usage and improves throughput on long sequences compared to pure-Transformer models, while maintaining strong reasoning performance.
How much does AI21 Labs API cost?
Jamba 1.6 Large is $2.00/$8.00 per 1M input/output tokens. Jamba 1.6 Mini is $0.20/$0.40 per 1M tokens. Both support 256K context. See ai21.com/pricing for current rates.
What context window does Jamba 1.6 support?
Both Jamba 1.6 Large and Jamba 1.6 Mini support 256K token context windows, making them suitable for long-document analysis and extended conversations.
Tencent FAQs
What is Tencent Hunyuan T1?
Hunyuan T1 is Tencent's frontier reasoning model, designed for complex multi-step tasks including coding, math, and logical reasoning. It succeeds the hy3 generation with improved benchmark scores and is optimised for both Chinese and English.
What is Hunyuan Turbo?
Hunyuan Turbo is Tencent's fast, cost-efficient inference model with a 262K context window, designed for long-context workloads at competitive pricing. Check cloud.tencent.com/document/product/1729/97731 for current rates.
Is Tencent Hunyuan available internationally?
Yes. The Hunyuan API is accessible globally via Tencent Cloud, though latency may be higher outside Asia-Pacific regions. Models are available via the Tencent Cloud console and API.
Provider resources
AI21 Labs — Jamba 1.6 — hybrid SSM-Transformer models with 256K context
AI21 Labs develops the Jamba model family, which uses a hybrid SSM (Mamba) and Transformer architecture. Jamba 1.6 Large and Mini offer 256K token context windows at competitive prices. The hybrid architecture delivers faster inference and lower memory usage than pure-Transformer models of comparable size.
Jamba's hybrid SSM-Transformer architecture enables 256K context at lower memory and latency cost than pure-Transformer models — with Jamba 1.6 Mini among the cheapest 256K-context options available.
Tencent — Hunyuan T1 reasoning model and Hunyuan Turbo — competitive frontier pricing
Tencent offers the Hunyuan series of large language models via its cloud platform. The 2026 lineup includes Hunyuan T1 (frontier reasoning model) and Hunyuan Turbo (fast, cost-efficient tier). Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks at competitive pricing.
Hunyuan T1 brings frontier reasoning capability to the Tencent Cloud ecosystem, while Hunyuan Turbo offers a 262K context window at competitive pricing for long-context workloads.
Key strengths compared
AI21 Labs
- Hybrid SSM-Transformer architecture delivers faster inference than pure-Transformer models
- 256K token context window on both Jamba 1.6 Large and Mini
- Jamba 1.6 Mini at $0.20/$0.40 per 1M tokens is highly cost-competitive
- Smaller model family than frontier labs — two models vs dozens at OpenAI or Anthropic
- Less ecosystem support than OpenAI-compatible providers
Tencent
- Hunyuan T1 reasoning model for complex multi-step tasks
- Hunyuan Turbo for fast, cost-efficient inference
- Competitive pricing
- Primarily targets Chinese market
- Smaller international ecosystem
Key weaknesses compared
AI21 Labs
- Smaller model family than frontier labs — two models vs dozens at OpenAI or Anthropic
- Less ecosystem support than OpenAI-compatible providers
- No image, audio, or multimodal models
Tencent
- Primarily targets Chinese market
- Smaller international ecosystem
- Less third-party tooling than OpenAI
Provider category context
AI21 Labs is a frontier lab, founded in 2017. 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 AI21 Labs and Tencent are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: AI21 Labs leads on hybrid ssm-transformer architecture delivers faster inference than pure-transformer models, while Tencent leads on hunyuan t1 reasoning model for complex multi-step tasks. 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.