LiteLLMModels

Cheapest API Models with Tool Calling

As of October 21, 2026, among LiteLLM's active models with a 32K-token context window or more, offered by at least two providers or by their own lab, the cheapest of the models with tool calling is Qwen2.5 Coder 7B, at $0.015 per 1M tokens (blended), from Nebius AI Studio.

Updated Sorted by blended price per 1m tokens only, not by quality

Top 20

Sorted by blended price: 3 input tokens for every output token, at each model's headline price (its own lab's API where it sells it, otherwise its cheapest provider). Only models that list function calling. Only active models with a 32K-token context window or more, offered by at least two providers or by their own lab. Free models are left out.

#ModelLabBlended price per 1M tokensPrice per 1M (in / out)ContextProvidersPrice from
1Qwen2.5 Coder 7BAlibaba$0.015$0.01 / $0.0332K3Nebius AI Studio
2Llama3.2 11B Vision InstructMeta$0.0175$0.015 / $0.025128K5Lambda
3Llama3.2 3B InstructMeta$0.0175$0.015 / $0.025128K8Lambda
4Llama 3.2 1B InstructMeta$0.02$0.02 / $0.02131K5Novita AI
5Mistral Nemo InstructMistral AI$0.02175$0.019 / $0.03128K5DeepInfra
6Llama 3.1 8B Instruct TurboMeta$0.025$0.02 / $0.04128K2DeepInfra
7GPT OSS 20BOpenAI$0.02838$0.0145 / $0.07128K16Darkbloom
8Llama 3.1 8BMeta$0.035$0.03 / $0.05128K5LlamaGate
9Llama 3.2 3BMeta$0.05$0.04 / $0.08128K3LlamaGate
10Qwen2.5 7B InstructAlibaba$0.055$0.04 / $0.1032K3DeepInfra
11Mistral Small 24B InstructMistral AI$0.0575$0.05 / $0.0832K3DeepInfra
12Nova MicroAmazon$0.06125$0.035 / $0.14128K2Amazon Bedrock
13Nova Micro V1Amazon$0.06125$0.035 / $0.14128K1Amazon Nova
14Gemma 3 12B ITGoogle$0.0625$0.05 / $0.10128K4Novita AI
15GPT OSS 120BOpenAI$0.065$0.03 / $0.17131K24Weights & Biases
16Qwen3 8BAlibaba$0.065$0.04 / $0.1432K3LlamaGate
17Command R7BCohere$0.06562$0.0375 / $0.15128K1Cohere
18Nvidia Nemotron Nano 9B V2NVIDIA$0.07$0.04 / $0.16128K3DeepInfra
19Mistral NemoMistral AI$0.0725$0.04 / $0.1760K3Novita AI
20Nemotron 3 Nano 30B A3BNVIDIA$0.0875$0.05 / $0.20256K2DeepInfra

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