Best of 2026

Best LLM models

The LLM versions that matter in 2026, ranked by real crowd verdicts, not by lab benchmarks alone. Each model links to a full review with verified API pricing per million tokens, context window, honest strengths and weaknesses, and a clear editorial verdict.

8 tools · ranked by crowd votes · updated July 2026

  1. Anthropic's fastest model: about 90% of Sonnet 4.5's coding skill at $1/$5 per 1M tokens, 200K context.

    $5/1M out67%(2)
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    Why: 73.3% on SWE-bench Verified, about 90% of Sonnet 4.5's agentic coding at one third of the price

  2. 2

    Anthropic's June 2026 Mythos-class flagship: 80.3% on SWE-bench Pro, 11 points clear of every other frontier model

    $50/1M out63%(4)
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    Why: 80.3% on SWE-bench Pro vs 69.2% for Opus 4.8, 58.6% for GPT-5.5 and 54.2% for Gemini 3.1 Pro, roughly 11 points ahead…

  3. 3

    Anthropic's April 2026 Opus: 87.6% SWE-bench Verified, 1M context, high-res vision, now behind Opus 4.8

    $25/1M out57%(3)
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    Why: 87.6% SWE-bench Verified (up from 80.8% on Opus 4.6) and 64.3% SWE-bench Pro at launch, ahead of GPT-5.4 (57.7%) and…

  4. 4

    Anthropic's flagship Opus-tier model for long-horizon agentic coding; 1M context at $5/$25 per 1M tokens.

    $25/1M out57%(3)
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    Why: SWE-Bench Pro 69.2% (vs 64.3% for Opus 4.7) and beats prior Opus models on CursorBench at every effort level; strong…

  5. 5

    Anthropic's most agentic Sonnet: near Opus 4.8 quality on coding and agents at $3/$15 with 1M context

    $15/1M out ($10 intro until 2026-08-31)57%(3)
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    Why: Large agentic gains over Sonnet 4.6: Terminal-Bench 2.1 80.4% vs 67.0%, OSWorld-Verified 81.2% vs 78.5%, SWE-bench Pro…

  6. 6

    OpenAI's agentic flagship: 1M context, SOTA ARC-AGI-2 and Terminal-Bench 2.0, $5/$30 per 1M tokens.

    $30/1M out57%(3)
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    Why: 1M-token context window (1,050,000) with 128K max output and reasoning effort tunable from none to xhigh

  7. 7

    Google's Nov 2025 frontier model: 1M context, first past 1500 Elo on LMArena, replaced by Gemini 3.1 Pro.

    $12/1M out (prompts ≤200K)57%(3)
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    Why: Topped LMArena at launch with a record 1501 Elo and scored 91.9% on GPQA Diamond, state of the art at release

  8. 8

    Open-weights 1.6T MoE with 1M-token context and near-frontier agentic coding at $0.87 per 1M output tokens

    $0.87/1M out57%(3)
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    Why: 1M-token context window (8x the 128K of V3.2) with up to 384K output tokens, standard on the official API

The deciding duel

Torn between the top two? Put them in the pit.

See Claude Haiku 4.5 vs Claude Fable 5 head-to-head

Only the top 8 made the cut.

See the full leaderboard