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[ARTICLE · art-106579] src=telnyx.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

DeepSeek-V4-Flash and Qwen3.8-27B Now Available for Telnyx Inference

Telnyx has added DeepSeek-V4-Flash and Qwen3.8-27B to its Inference API, offering cost-efficient and low-latency options for high-volume and classification tasks. DeepSeek-V4-Flash is priced at $0.13 per 1M input tokens and $0.26 per 1M output tokens, while Qwen3.8-27B costs $0.40 per 1M input tokens and $3.00 per 1M output tokens. Both models run on Telnyx-owned GPU infrastructure and are accessible via the existing OpenAI-compatible endpoint without SDK updates.

read1 min views1 publishedAug 21, 2026
DeepSeek-V4-Flash and Qwen3.8-27B Now Available for Telnyx Inference
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Two new smaller, faster LLMs are now available on the Telnyx Inference API: DeepSeek-V4-Flash for cost-efficient high-volume workloads, and Qwen3.8-27B for low-latency routing and classification tasks. Both run on Telnyx-owned GPU infrastructure through the existing OpenAI-compatible Chat Completions endpoint, with no new endpoints or SDK updates required.

deepseek-ai/DeepSeek-V4-Flash-0731

. A smaller, faster DeepSeek variant tuned for cost-efficient inference at high volume.Qwen/Qwen3.8-27B

. A 27B-parameter model from the Qwen team, sized for low-latency tasks where a full-scale LLM is overkill.| Token Type | DeepSeek-V4-Flash | Qwen3.8-27B | |---|---|---| | Input | $0.13 / 1M tokens | $0.40 / 1M tokens | | Cached Input | $0.03 / 1M tokens | $0.05 / 1M tokens | | Output | $0.26 / 1M tokens | $3.00 / 1M tokens |

Full rate details on the inference pricing page.

deepseek-ai/DeepSeek-V4-Flash-0731

or Qwen/Qwen3.8-27B

from the model dropdown.

curl https://api.telnyx.com/v2/ai/chat/completions   -H "Authorization: Bearer $TELNYX_API_KEY"   -H "Content-Type: application/json"   -d '{
    "model": "deepseek-ai/DeepSeek-V4-Flash-0731",
    "messages": [
      {"role": "user", "content": "Classify this support ticket into one of: billing, technical, account."}
    ]
  }'

Learn more in the Inference API docs or on the pricing page.

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