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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)
    99/351
    Models
    30/51
    Providers
    29
    Vision Models (filtered)
    76
    Tool-enabled (filtered)
    3
    Free Models (filtered)
    Features
    Alibaba Cloud
    kimi-k2
    		$0.57$2.29—
    Groq
    kimi-k2
    		$1.00$3.00$0.50
    MiniMax
    minimax-text-01
    		$0.20$1.10—
    MiniMax
    minimax-text-01
    		$0.20$1.10—
    MiniMax
    minimax-m2.1-lightning
    		$0.12$0.48—
    MiniMax
    minimax-m2.1-lightning
    		$0.12$0.48—
    MiniMax
    minimax-m2.1
    		$0.27$1.10—
    NovitaAI
    minimax-m2.1
    		$0.30$1.20$0.03
    NovitaAI
    minimax-m2.1
    		$0.30$1.20$0.03
    MiniMax
    minimax-m2.1
    		$0.27$1.10—
    MiniMax
    minimax-m2
    		$0.20$1.00$0.03
    MiniMax
    minimax-m2
    		$0.20$1.00$0.03
    MiniMax
    minimax-m2.5-highspeed
    		$0.60$2.40$0.03
    MiniMax
    minimax-m2.5-highspeed
    		$0.60$2.40$0.03
    Nebius AI
    minimax-m2.5
    		$0.30$1.20—
    MiniMax
    minimax-m2.5
    		$0.30$1.20$0.03
    EmberCloud
    minimax-m2.5
    		$0.20$1.20$0.04
    MiniMax
    minimax-m2.5
    		$0.30$1.20$0.03
    NovitaAI
    minimax-m2.5
    		$0.30$1.20$0.03
    Together AI
    minimax-m2.5
    		$0.30$1.20—
    Nebius AI
    minimax-m2.5
    		$0.30$1.20—
    NovitaAI
    minimax-m2.5
    		$0.30$1.20$0.03
    MiniMax
    minimax-m2.7-highspeed
    		$0.60$2.40$0.06
    MiniMax
    minimax-m2.7-highspeed
    		$0.60$2.40$0.06
    Gonka24
    minimax-m2.7
    		$0.08$0.32$0.02
    Gonka24
    minimax-m2.7
    		$0.08$0.32$0.02
    MiniMax
    minimax-m2.7
    		$0.30$1.20$0.06
    MiniMax
    minimax-m2.7
    		$0.30$1.20$0.06
    NovitaAI
    minimax-m2.7
    		$0.30$1.20$0.06
    SCX.ai (Turbo)
    minimax-m2.7
    		$0.48$1.79$0.05
    NovitaAI
    minimax-m2.7
    		$0.30$1.20$0.06
    Together AI
    minimax-m2.7
    		$0.30$1.20$0.06
    SCX.ai (Turbo)
    minimax-m2.7
    		$0.48$1.79$0.05
    Together AI
    minimax-m3
    		$0.30$1.20$0.06
    MiniMax
    minimax-m3
    		$0.60$2.40$0.12
    Nebius AI
    minimax-m3
    		$0.30$1.20—
    Together AI
    minimax-m3
    		$0.30$1.20$0.06
    Nebius AI
    minimax-m3
    		$0.30$1.20—
    MiniMax
    minimax-m3
    		$0.60$2.40$0.12
    Mistral AI
    devstral-small-2507
    		$0.10$0.30—
    Mistral AI
    devstral-2512
    		$0.40$2.00—
    Mistral AI
    devstral-2512
    		$0.40$2.00—
    Mistral AI
    mistral-small-2506
    		$0.10$0.30—
    Mistral AI
    mistral-small-2506
    		$0.10$0.30—
    ByteDance
    deepseek-v4-flash
    		$0.44$1.32$0.01
    Alibaba Cloud
    deepseek-v4-flash
    		$0.20$0.40$0.04
    CanopyWave
    deepseek-v4-flash
    		$0.14$0.28$0.03
    Alibaba Cloud(singapore)
    deepseek-v4-flash
    		$0.20$0.40$0.04
    NovitaAI
    deepseek-v4-flash
    		$0.14$0.28$0.03
    Alibaba Cloud(us-virginia)
    deepseek-v4-flash
    		$0.20$0.40$0.04
    Page 6 of 9

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    • Together AI
    • SCX.ai (Turbo)
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    • ByteDance
    • MiniMax
    • EmberCloud
    • Meta
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    • Gonka24
    • Fireworks AI

    © 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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