Multi-model workspace

Compare models side by side.

Choose up to four models. Missing scores stay missing, prices remain provider-listed snapshots, and no artificial overall winner is calculated.

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Editorial comparisons

Curated decisions.

These indexable head-to-head pages exist only where a distinct trade-off and evaluation recipe have been written.

Anthropic / OpenAI

Claude 3.7 Sonnet vs GPT-4.1

Claude emphasizes controllable reasoning; GPT-4.1 offers a much larger input window and lower listed token prices.

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Google / Anthropic

Gemini 2.5 Pro vs Claude 3.7 Sonnet

Gemini handles more media types and longer input; Claude offers a focused hybrid-reasoning workflow with mature coding behavior.

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DeepSeek / Meta

DeepSeek R1 vs Llama 4 Maverick

R1 is centered on reasoning with an MIT license; Maverick is natively multimodal but uses Meta's community license.

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Mistral AI / DeepSeek

Mistral Small 3.1 vs DeepSeek R1

Mistral is dramatically easier to host; full R1 demands far more infrastructure but targets harder reasoning tasks.

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OpenAI / Anthropic

GPT-5.6 Sol vs Claude Fable 5

Sol reports strong efficiency and broad frontier capability; Fable emphasizes sustained autonomous work but has higher list prices and sensitive-domain routing.

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OpenAI / OpenAI

GPT-5.6 Sol vs GPT-5.6 Terra

Both share the GPT-5.6 tool stack; Sol buys a higher capability ceiling while Terra lowers token costs by half.

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OpenAI / OpenAI

GPT-5.6 Terra vs GPT-5.6 Luna

Terra is the balanced tier; Luna cuts input and output list prices while giving up some peak reasoning performance.

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OpenAI / Google

GPT-4.1 vs Gemini 2.5 Pro

Both expose roughly million-token context windows, but GPT-4.1 is positioned around API instruction following and code editing while Gemini 2.5 Pro emphasizes multimodal reasoning. Their listed prices and evaluation settings are not directly interchangeable.

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OpenAI / DeepSeek

GPT-4.1 vs DeepSeek R1

GPT-4.1 provides a managed million-token API and vision input; DeepSeek R1 is reasoning-specialized and provides MIT-licensed weights, but its full 671B model has much heavier infrastructure requirements.

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Anthropic / DeepSeek

Claude 3.7 Sonnet vs DeepSeek R1

Claude 3.7 Sonnet offers a managed hybrid-reasoning workflow and vision support; DeepSeek R1 offers MIT-licensed weights and distilled variants, trading provider convenience for deployment control and infrastructure responsibility.

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Alibaba / DeepSeek

Qwen2.5-Max vs DeepSeek R1

Qwen2.5-Max is a proprietary managed MoE with multilingual positioning; DeepSeek R1 is an MIT-licensed reasoning MoE with downloadable weights. Qwen's reviewed context is shorter, while full R1 requires substantially more serving infrastructure.

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OpenAI / Moonshot AI

GPT-5.6 Sol vs Kimi K3

Both records list million-token context and closed provider access at the review date. Sol has shared reported benchmark evidence in the directory but higher listed token prices; Kimi K3 lists lower prices and a disclosed 2.8T scale, while its announced future weight release was not yet available when checked.

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