Open Source Models

    Open-weight models — Llama, DeepSeek, Qwen, GLM, Kimi, GPT-OSS, Gemma, and more — served through one API

    Compare
    Use Case
    Capabilities
    Provider
    Status
    Input Price ($/M tokens)
    Output Price ($/M tokens)
    Context Size (tokens)
    84
    Models
    59
    Providers
    31
    Vision Models
    71
    Tool-enabled
    0
    Free Models
    Features
    Runware
    gemma-4-31b-it
    		$0.10$0.30$0.01
    SCX.ai (Turbo)
    gemma-4-31b-it
    		$0.30$0.91—
    NovitaAI
    gemma-4-31b-it
    		$0.13$0.38—

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    AvalAI
    gemma-4-31b-it
    		$0.14$0.40$0.01
    Together AI
    gemma-4-31b-it
    		$0.13$0.38—
    Cerebras
    gemma-4-31b-it
    		$0.99$1.49—

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    OpenRouter
    gemma-4-31b-it
    		$0.12$0.37—
    Xiaomi
    mimo-v2.5
    		$0.14$0.28$0.00

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    OpenRouter
    mimo-v2.5
    		$0.14$0.28$0.00
    Xiaomi
    mimo-v2.5-pro
    		$0.43$0.87$0.00

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    OpenRouter
    mimo-v2.5-pro
    		$0.43$0.87$0.00
    Alibaba Cloud(us-virginia)
    qwen3.6-35b-a3b
    		$0.25$1.48—
    Alibaba Cloud(eu-frankfurt)
    qwen3.6-35b-a3b
    		$0.25$1.48—
    Alibaba Cloud(cn-beijing)
    qwen3.6-35b-a3b
    		$0.25$1.48—
    Alibaba Cloud
    qwen3.6-35b-a3b
    		$0.25$1.48—

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    OpenRouter
    qwen3.6-35b-a3b
    		$0.14$1.00—

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    AvalAI
    qwen3.6-35b-a3b
    		$0.25$1.48$0.02
    Alibaba Cloud(singapore)
    qwen3.6-35b-a3b
    		$0.25$1.48—

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    GapGPT
    qwen3.6-35b-a3b
    		$75.00$75.00—
    NovitaAI
    qwen3.6-35b-a3b
    		$0.25$1.48—
    Z AI
    glm-5
    		$1.00$3.20$0.20

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    OpenRouter
    glm-5
    		$0.95$2.55$0.20
    NovitaAI
    glm-5
    		$1.00$3.20$0.20
    Alibaba Cloud
    glm-5
    		$0.57$2.58—
    Alibaba Cloud(cn-beijing)
    glm-5
    		$0.57$2.58—
    EmberCloud
    glm-5
    		$0.72$2.30$0.14
    Vertex AI (OpenAI-compatible)
    glm-5
    		$1.00$3.20$0.10
    Nebius AI
    glm-5.1
    		$1.40$4.40—
    Z AI
    glm-5.1
    		$1.40$4.40$0.26
    EmberCloud
    glm-5.1
    		$0.93$2.93$0.17

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    AvalAI
    glm-5.1
    		$1.40$4.40$0.26

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    OpenRouter
    glm-5.1
    		$0.97$3.04$0.18
    NovitaAI
    glm-5.1
    		$1.40$4.40$0.26
    DeepInfra
    glm-5.1
    		$1.05$3.50$0.20
    Moonshot AI
    kimi-k2.6
    		$0.95$4.00$0.16
    Gonka24
    kimi-k2.6
    		$0.22$1.14$0.05
    Runware
    kimi-k2.6
    		$0.60$3.05$0.13
    Nebius AI
    kimi-k2.6
    		$0.95$4.00—
    NovitaAI
    kimi-k2.6
    		$0.95$4.00$0.16

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    OpenRouter
    kimi-k2.6
    		$0.68$3.42$0.14

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    AvalAI
    kimi-k2.6
    		$0.95$4.00$0.16
    CanopyWave
    kimi-k2.6
    		$0.50$2.80$0.10

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    Tundra
    kimi-k2.6
    		$0.40$2.20$0.08
    MiniMax
    minimax-m2.5-highspeed
    		$0.60$2.40$0.03
    Nebius AI
    minimax-m2.5
    		$0.30$1.20—

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    OpenRouter
    minimax-m2.5
    		$0.15$0.90$0.05

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    AvalAI
    minimax-m2.5
    		$0.30$1.20$0.03
    NovitaAI
    minimax-m2.5
    		$0.30$1.20$0.03
    MiniMax
    minimax-m2.5
    		$0.30$1.20$0.03

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    AvalAI
    minimax-m2.7-highspeed
    		$0.60$2.40$0.06
    Page 2 of 6

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    Open-weight models have closed most of the gap with proprietary frontiers: DeepSeek V4, Qwen3.7, GLM-5, Kimi K2, and MiniMax M3 sit near the top of real-world leaderboards, joined by OpenAI's GPT-OSS and Google's Gemma releases. Their weights are public — but running a 200B+ parameter model yourself means serious GPU infrastructure.

    This page lists open-weight models served by hosted providers, so you get the openness — inspectable weights, no lock-in, the option to self-host later — with API convenience. LLM Gateway itself is open source (AGPLv3) and self-hostable, so the whole stack can run on your terms.

    Frequently asked questions

    What is the best open source LLM?

    DeepSeek V4, Qwen3.7, GLM-5.2, Kimi K2.6, and MiniMax M3 are the current leaders, each within striking distance of proprietary frontier models. For smaller, hardware-friendly options, GPT-OSS 20B, Gemma 4, and Qwen3.5 9B are the standouts.

    What does 'open source' mean for LLMs?

    Usually 'open weight': the trained weights are downloadable, but licenses vary — some are Apache 2.0 or MIT, others (like the Llama license) carry usage restrictions, and training data is rarely published. Check the license of a specific model before building on it.

    Should I self-host or use an API?

    Self-hosting pays off with steady high volume, strict data-residency needs, or fine-tuned weights. For everything else, per-token APIs are cheaper than idle GPUs. A middle path: develop against hosted open models and keep self-hosting as an exit option, since the weights are public.

    Are open models cheaper than proprietary ones?

    Dramatically, per token. Competition among hosts drives prices down — DeepSeek V4 Flash and Qwen3 Coder 30B cost 10–50x less than frontier proprietary models. The list above shows every provider's price for each model.

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