Long Context Models

    Models with context windows of 200K tokens or more — up to 2M — for whole-codebase and multi-document workloads

    Compare
    Use Case
    Capabilities
    Provider
    Status
    Input Price ($/M tokens)
    Output Price ($/M tokens)
    Context Size (tokens)
    162/290
    Models
    36/58
    Providers
    125
    Vision Models (filtered)
    153
    Tool-enabled (filtered)
    1
    Free Models (filtered)
    Features
    Baidu
    deepseek-v4.1-flash
    		$0.30$1.20$0.01
    DeepInfra
    deepseek-v4.1-flash
    		$0.20$0.60$0.01
    DeepSeek
    deepseek-v4.1-flash
    		$0.15$0.60$0.00
    Fireworks AI
    deepseek-v4.1-flash
    		$0.22$0.66$0.01
    NovitaAI
    deepseek-v4.1-flash
    		$0.30$1.20$0.01
    Together AI
    deepseek-v4.1-flash
    		$0.30$1.20$0.01
    Meta
    muse-spark-1.1
    		$1.25$4.25$0.15
    Meta Contributor
    muse-spark-1.2-contributor
    		$0.10$0.20$0.00
    Meta
    muse-spark-1.2
    		$1.25$4.25$0.15
    Meta Contributor
    muse-spark-1.3-contributor
    		$0.10$0.20$0.00
    Meta
    muse-spark-1.3
    		$1.25$4.25$0.15
    Meta
    muse-wonder-1.0
    		$4.00$20.00$0.20
    DeepInfra
    mimo-v2.6-flash
    		$0.14$0.28$0.00
    Xiaomi
    mimo-v2.6-flash
    		$0.14$0.28$0.00
    DeepInfra
    mimo-v2.6-pro
    		$0.43$0.87$0.00
    Xiaomi
    mimo-v2.6-pro
    		$0.43$0.87$0.00
    AWS Bedrock
    grok-4-7
    		$2.00$6.00$0.50
    AWS Bedrock(global)
    grok-4-7
    		$2.00$6.00$0.50
    AWS Bedrock(us)
    grok-4-7
    		$2.20$6.60$0.55
    xAI
    grok-4-7
    		$2.00$6.00$0.50
    AWS Bedrock
    grok-4-6
    		$2.00$6.00$0.50
    AWS Bedrock(global)
    grok-4-6
    		$2.00$6.00$0.50
    AWS Bedrock(us)
    grok-4-6
    		$2.20$6.60$0.55
    AWS Bedrock(us-west-2)
    grok-4-6
    		$2.20$6.60$0.55
    Vertex AI (OpenAI-compatible)
    grok-4-6
    		$2.00$6.00$0.50
    xAI
    grok-4-6
    		$2.00$6.00$0.50
    xAI
    grok-4-5
    		$2.00$6.00$0.30
    NovitaAI
    ling-3.1-flash
    		$0.00$0.00—
    DeepInfra
    ling-3.0-flash
    		$0.06$0.18$0.01
    NovitaAI
    ling-3.0-flash
    		$0.06$0.18$0.01
    DeepInfra
    gemma-4-26b-a4b-it
    		$0.07$0.34—
    NovitaAI
    gemma-4-26b-a4b-it
    		$0.13$0.40—
    DeepInfra
    gemma-4-31b-it
    		$0.20$0.40—
    NovitaAI
    gemma-4-31b-it
    		$0.14$0.40—
    Google AI Studio
    gemini-4-argon
    		$4.00$20.00$0.20
    Google Vertex AI
    gemini-4-argon
    		$4.00$20.00$0.20
    Google AI Studio
    gemini-3.8-flash
    		$0.75$3.75$0.07
    Google Vertex AI
    gemini-3.8-flash
    		$0.75$3.75$0.07
    Google Vertex AI
    gemini-3.7-flash
    		$0.75$3.75$0.07
    Google AI Studio
    gemini-3.6-flash
    		$0.75$3.75$0.07
    Google Vertex AI
    gemini-3.6-flash
    		$0.75$3.75$0.07
    Google AI Studio
    gemini-3.5-flash-lite
    		$0.30$2.50$0.03
    Google Vertex AI
    gemini-3.5-flash-lite
    		$0.30$2.50$0.03
    Anthropic
    claude-opus-5
    		$5.00$25.00$0.50
    AWS Bedrock
    claude-opus-5
    		$5.00$25.00$0.50
    AWS Bedrock(eu)
    claude-opus-5
    		$5.50$27.50$0.55
    AWS Bedrock(global)
    claude-opus-5
    		$5.00$25.00$0.50
    AWS Bedrock(us)
    claude-opus-5
    		$5.50$27.50$0.55
    Azure Anthropic
    claude-opus-5
    		$5.00$25.00$0.50
    Vertex AI (Anthropic)
    claude-opus-5
    		$5.00$25.00$0.50
    Page 3 of 11

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    © 2026 LLM Gateway. All rights reserved.

    Every model on this page accepts at least 200,000 tokens of context — roughly 150,000 words — and the largest stretch much further: Grok 4.1 Fast at 2 million tokens, with Gemini, Claude Sonnet 5, GPT-5.4, DeepSeek V4, and GLM-5.2 at or above the million-token mark. That's enough to fit an entire codebase, a legal document set, or months of chat history into a single prompt.

    Advertised size isn't everything: retrieval quality can degrade well before the window is full, and long prompts get expensive fast. Cached input pricing — shown in the list — matters more than the headline price when you re-send large contexts on every request.

    Frequently asked questions

    Which LLM has the largest context window?

    Grok 4.1 Fast currently leads with a 2 million token window. Gemini models run just over 1 million, and Claude Sonnet 5, GPT-5.4, DeepSeek V4, GLM-5.2, and Qwen3.7 also offer million-token windows.

    How many words fit in a 200K context window?

    Roughly 150,000 English words — about 600 pages. A million-token window fits around 750,000 words: several full-length books, or a mid-sized codebase.

    Do models actually use the full window well?

    Not uniformly. Most models recall the start and end of a prompt better than the middle, and effective context is often smaller than the advertised maximum. For critical retrieval over huge inputs, test with your own data and consider chunking plus retrieval instead of one giant prompt.

    How do I keep long-context costs down?

    Use cached input pricing: providers charge a fraction of the normal rate for re-sent, unchanged prefixes, which is exactly the shape of chatting over a large document or codebase. Structure prompts so the big static context comes first and only the question changes.

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