A reference for AI model selection

Pricing, benchmarks, and use-case fit for Claude, GPT, Gemini, Llama, Mistral, and the open-weight tier — sourced from official provider documentation.

Latest

  1. 01

    GPT-5.6: Sol, Terra, Luna

    OpenAI's new series ships behind a government gate — about 20 partners only. Announced at $5/$30, $2.50/$15, and $1/$6, with context windows and API IDs still unpublished.

  2. 02

    Claude Fable 5

    The Mythos-class model the public could finally use — until a June 12 U.S. export-control order suspended it. $10/$50, falls back to Opus 4.8.

  3. 03

    Claude Opus 4.8

    Same price as 4.7, a small leaderboard bump, and an honesty gain that catches its own bugs.

  4. 04

    GPT-5.5

    OpenAI's gains land in agentic coding and computer use, at roughly double GPT-5's API price.

  5. 05

    Opus 4.8 vs GPT-5.5

    Both charge $5 per million input. Where each one wins after that, and which belongs in your stack.

  6. 06

    Claude Mythos

    Anthropic's restricted frontier model, gated under Project Glasswing. What it is and why it's locked away.

Reviews

  1. 07

    Claude Opus 4.7

    Strong on architecture decisions and long-document analysis. Vision is its weaker side.

  2. 08

    GPT-5

    The visual-design winner. Still strong on math and structured output.

  3. 09

    Gemini 3 Pro

    Excels at vision + reasoning. Average elsewhere. Deprecated by Google in March 2026 in favor of 3.1 Pro.

Comparisons

  1. 10

    Coding assistants

    Cursor, GitHub Copilot, Windsurf, and Cody on the same Markdown-exporter task.

  2. 11

    Voice models

    ElevenLabs, OpenAI Whisper, and Cartesia Sonic on latency, accuracy, and naturalness.

  3. 12

    Context windows

    Advertised window versus the retrieval zone where the model finds information.

Analysis

  1. 13

    Price per use case

    The cheapest model for chat, coding, RAG, agents, classification, and summarization.

  2. 14

    The open-weight tier

    Where Llama 4, Mistral Large 2, DeepSeek-V3.1, and Qwen 3 stand against the closed labs.

  3. 15

    Why benchmarks stopped telling you

    MMLU is saturated above 90%. The benchmarks worth tracking now.

Guides

  1. 16

    Frontier models

    Claude Opus 4.7, GPT-5, and Gemini 3.1 Pro Preview: the reviews, the head-to-head, and a single buying decision.

  2. 17

    Open-weight models

    Llama 4, Mistral, DeepSeek, Qwen, the small-model tier, and what it takes to self-host.

  3. 18

    AI costs

    What AI costs by model and workload, and where teams overspend.

Compare models directly

An interactive reference covering pricing, benchmarks, context windows, and capability ratings for all 21 models in the index, across the frontier, mid, and open-weight tiers.

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benchr is a verified reference, not a blog. Every price, benchmark, context window, and date is checked against the provider's own official documentation — sourced and dated — before it goes on the page.

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