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Models & pricing

How pricing works

  • Prices are per million tokens, split into input, cached input, and output.
  • Cached input, prompt tokens served from cache, bills at the model's cached rate in the table. Details ↗
  • Web search bills per search, on top of tokens. Details ↗

Rate card

The live rate card is in the portal model catalog and in the API: /v1/models returns each model's verified context_length and a pricing object (prompt / completion / input_cache_read, per-token USD strings):

curl https://api.keln.ai/v1/models
Model Input $/M Cached input $/M Output $/M
deepseek-ai/deepseek-v4-pro-0813 1.32 0.26 3.96
deepseek-ai/deepseek-v4.1-flash 0.30 0.03 1.20
google/gemma-4-31b-it 0.15 0.15 0.46
minimaxai/minimax-m3 0.30 0.12 1.20
moonshotai/kimi-k2.7-code 0.95 0.2375 4.00
moonshotai/kimi-k3 3.00 0.60 15.00
nvidia/nemotron-3-ultra-550b-a55b 0.80 0.20 3.00
openai/gpt-oss-120b 0.15 0.10 0.60
qwen/qwen3.6-35b-a3b 0.25 0.20 1.49
qwen/qwen3.8-2.4t-a95b 2.50 0.50 6.25
qwen/qwen3.8-27b 0.50 0.15 3.20
zai-org/glm-5.2 1.40 0.35 4.40
zai-org/glm-5.3 1.40 0.31 4.40
zai-org/glm-5.3-flash 0.15 0.05 0.50

With JavaScript on, this table is the live /v1/models response, context length and vision included; without it you see the rate card as committed with the last docs build. Scrape the endpoint rather than hardcoding these numbers if you'd like the updates for free. Ids are canonically lowercase and matched case-insensitively.

$10 per 1,000 searches, on top of tokens. A search is one query, whatever the number of results; the results the model reads count as input tokens at the model's rate. Keln never bills errors, attempts past the cap, or searches the model did not run. usage.cost on every response includes the fee. The same price applies from the API, from Codex and Claude Code, and from Claude Desktop. How to turn it on and what comes back: Web search ↗

Model lifecycle

Keln adds a model when providers can serve it at the published SLO, and emails active users of a model 14 days before deprecating it.