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    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)
    92/323
    Models
    30/51
    Providers
    27
    Vision Models (filtered)
    70
    Tool-enabled (filtered)
    3
    Free Models (filtered)
    Features
    SCX.ai (Turbo)
    gemma-4-31b-it
    		$0.30$0.91—
    NanoGPT
    gpt-oss-20b
    		$0.04$0.15—
    Groq
    gpt-oss-20b
    		$0.10$0.50—
    Together AI
    gpt-oss-20b
    		$0.05$0.20—
    Groq
    gpt-oss-20b
    		$0.10$0.50—
    Together AI
    gpt-oss-20b
    		$0.05$0.20—
    Runware
    gpt-oss-120b
    		$0.03$0.14$0.03
    Azure
    gpt-oss-120b
    		$0.15$0.60—
    Groq
    gpt-oss-120b
    		$0.15$0.75—
    Cerebras
    gpt-oss-120b
    		$0.35$0.75—
    Cerebras
    gpt-oss-120b
    		$0.35$0.75—
    ByteDance
    gpt-oss-120b
    		$0.10$0.50$0.02
    Azure
    gpt-oss-120b
    		$0.15$0.60—
    ByteDance
    gpt-oss-120b
    		$0.10$0.50$0.02
    Runware
    gpt-oss-120b
    		$0.03$0.14$0.03
    Together AI
    gpt-oss-120b
    		$0.15$0.60—
    SCX.ai (Turbo)
    gpt-oss-120b
    		$0.17$0.55—
    Nebius AI
    gpt-oss-120b
    		$0.15$0.60—
    NanoGPT
    gpt-oss-120b
    		$0.05$0.25—
    Together AI
    gpt-oss-120b
    		$0.15$0.60—
    Groq
    gpt-oss-120b
    		$0.15$0.75—
    Nebius AI
    gpt-oss-120b
    		$0.15$0.60—
    SCX.ai (Turbo)
    gpt-oss-120b
    		$0.17$0.55—
    Page 9 of 9

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    • Baidu
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    • Nebius AI
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    • Inference.net
    • Together AI
    • SCX.ai (Turbo)
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    • MiniMax
    • EmberCloud
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    © 2026 OffRail. All rights reserved.

    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.

    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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