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gpt-5-nano-high benchmarks, ranks and price

Where Artificial Analysis, LiveBench, LMArena and Berkeley BFCL place gpt-5-nano-high, what it costs through OpenRouter and Vercel AI Gateway, and the models either side of it on the consensus.

Updated Oct 1, 2026Full leaderboardSources and method

Read Oct 1, 2026

#56of 85

on the LLM leaderboard, with a consensus score of 42 across 2 leaderboards.

Source: Artificial Analysis, LiveBench, LMArena and Berkeley BFCL, combined by Rank.ai.

By leaderboard

Where each leaderboard places gpt-5-nano-high

Artificial Analysis

Not measured by Artificial Analysis.

Intelligence Index: a composite of reasoning, knowledge, maths and coding evaluations.

LiveBench

Not measured by LiveBench.

Contamination-limited questions refreshed each release: reasoning, maths, coding, data analysis, language.

LMArena

#64of 79

Score 1337. Best run: gpt-5-nano-high.

Blind head-to-head human votes, style controlled.

Berkeley BFCL

#17of 37

Score 51.45%. Best run: GPT-5-nano-2025-08-07 (FC).

Function calling and tool use, single turn to multi turn and web search.

Price and context

$0.14

Vercel AI Gateway: $0.050 in, $0.40 out

Nearby

The models either side of gpt-5-nano-high

  1. #53qwen3-30b-a3b-instruct-250743
  2. #54Mistral Medium 3.542
  3. #55Qwen3.5-122B-A10B42
  4. #56gpt-5-nano-high42
  5. #57Kimi K2.7 Code41
  6. #58qwen3-32b41
  7. #59Grok 4.341

Questions about gpt-5-nano-high

How good is gpt-5-nano-high?
gpt-5-nano-high ranks #56 of 85 models on the Rank.ai LLM leaderboard, with a consensus score of 42 out of 100 across 2 leaderboards.
Is gpt-5-nano-high better than Qwen3.5-122B-A10B?
Not on the consensus: Qwen3.5-122B-A10B scores 42 to gpt-5-nano-high's 42. Compare them source by source below, since the leaderboards test different things.
Is gpt-5-nano-high better than Kimi K2.7 Code?
On the consensus, yes: 42 to 41.
How much does gpt-5-nano-high cost?
$0.050 per million input tokens and $0.40 per million output tokens on Vercel AI Gateway, the cheaper listing we read. Blended at three input tokens to one output, that is $0.14 per million.

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