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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
    Fireworks AI
    kimi-k3-fast
    		$4.50$22.50$0.45
    Moonshot AI
    kimi-k2.7-code-highspeed
    		$1.90$8.00$0.38
    Moonshot AI
    kimi-k2.7-code-highspeed
    		$1.90$8.00$0.38
    Nebius AI
    kimi-k2.7-code
    		$0.95$4.00—
    NovitaAI
    kimi-k2.7-code
    		$0.95$4.00$0.19
    NovitaAI
    kimi-k2.7-code
    		$0.95$4.00$0.19
    Moonshot AI
    kimi-k2.7-code
    		$0.95$4.00$0.19
    Nebius AI
    kimi-k2.7-code
    		$0.95$4.00—
    Moonshot AI
    kimi-k2.7-code
    		$0.95$4.00$0.19
    Baidu
    kimi-k2.6
    		$0.95$4.00$0.16
    NovitaAI
    kimi-k2.6
    		$0.80$3.40$0.16
    Gonka24
    kimi-k2.6
    		$0.22$1.14$0.05
    CanopyWave
    kimi-k2.6
    		$0.95$4.00$0.16
    Moonshot AI
    kimi-k2.6
    		$0.95$4.00$0.16
    Nebius AI
    kimi-k2.6
    		$0.95$4.00—
    Tundra
    kimi-k2.6
    		$0.40$2.20$0.08
    Moonshot AI
    kimi-k2.6
    		$0.95$4.00$0.16
    Nebius AI
    kimi-k2.6
    		$0.95$4.00—
    Together AI
    kimi-k2.6
    		$1.20$4.50$0.20
    Tundra
    kimi-k2.6
    		$0.40$2.20$0.08
    Baidu
    kimi-k2.6
    		$0.95$4.00$0.16
    CanopyWave
    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
    NovitaAI
    kimi-k2.6
    		$0.80$3.40$0.16
    Runware
    kimi-k2.6
    		$0.60$3.05$0.13
    Nebius AI
    kimi-k2.5
    		$0.50$2.50$0.02
    Alibaba Cloud(eu-frankfurt)
    kimi-k2.5
    		$0.57$3.01—
    Alibaba Cloud
    kimi-k2.5
    		$0.57$3.01—
    DeepInfra
    kimi-k2.5
    		$0.45$2.25$0.07
    Alibaba Cloud(cn-beijing)
    kimi-k2.5
    		$0.57$3.01—
    Moonshot AI
    kimi-k2.5
    		$0.60$3.00$0.10
    DeepInfra
    kimi-k2.5
    		$0.45$2.25$0.07
    Alibaba Cloud(us-virginia)
    kimi-k2.5
    		$0.57$3.01—
    EmberCloud
    kimi-k2.5
    		$0.40$1.98$0.22
    Alibaba Cloud
    kimi-k2.5
    		$0.57$3.01—
    EmberCloud
    kimi-k2.5
    		$0.40$1.98$0.22
    Moonshot AI
    kimi-k2.5
    		$0.60$3.00$0.10
    Together AI
    kimi-k2.5
    		$0.50$2.80—
    Moonshot AI
    kimi-k2-thinking-turbo
    		$1.15$8.00$0.15
    Vertex AI (OpenAI-compatible)
    kimi-k2-thinking
    		$0.60$2.50$0.06
    Alibaba Cloud
    kimi-k2-thinking
    		$0.57$2.29—
    Moonshot AI
    kimi-k2-thinking
    		$0.60$2.50$0.15
    ByteDance
    kimi-k2-thinking
    		$0.60$2.50$0.12
    Vertex AI (OpenAI-compatible)
    kimi-k2-thinking
    		$0.60$2.50$0.06
    NovitaAI
    kimi-k2
    		$0.57$2.30—
    Nebius AI
    kimi-k2
    		$0.50$2.40—
    ByteDance
    kimi-k2
    		$0.60$2.50$0.12
    Moonshot AI
    kimi-k2
    		$0.60$2.50$0.15
    NovitaAI
    kimi-k2
    		$0.57$2.30—
    Page 5 of 9

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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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