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Claude Opus 4.7 vs GPT-5 nano

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Claude Opus 4.7 specs · GPT-5 nano specs
Verdict by category
  • PriceGPT-5 nano

    GPT-5 nano publishes pricing ($0.40 / 1M output tokens) while Claude Opus 4.7 does not.

  • Context windowClaude Opus 4.7

    Claude Opus 4.7 accepts 500K tokens vs 400K, 1.3× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesTie

    Both handle text, vision.

  • OpennessTie

    Both are closed-weight, API-only.

It's a genuine coin-flip between Claude Opus 4.7 and GPT-5 nano: 1 category wins each, with the rest tied. GPT-5 nano publishes pricing ($0.40 / 1M output tokens) while Claude Opus 4.7 does not. Claude Opus 4.7 accepts 500K tokens vs 400K, 1.3× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text, vision), so the deciding factors are price, context, and raw quality. Both are closed-weight, API-only.

Claude Opus 4.7 is the newer of the two, released 6 months after GPT-5 nano, which usually means a more recent knowledge cutoff and updated safety post-training. Claude Opus 4.7 is usually picked for coding llm and coding agent workloads, while GPT-5 nano sees more deployments in cheapest llm and fastest llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecClaude Opus 4.7GPT-5 nano
ProviderAnthropicOpenAI
ReleasedFeb 2026Aug 2025
Modalitiestext, visiontext, vision
Context window500K tokens400K tokens
Max output,128K tokens
Input · 1MPricing not published$0.050 / 1M tokens
Output · 1MPricing not published$0.40 / 1M tokens
Knowledge cutoff,2024-09
Open weightsNoNo
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day, vs $0.750
  • Heavy usage, 1M in / 500k out per day, vs $7.50
  • RAG workload, 5M in / 200k out per day, vs $9.90

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • Claude Opus 4.7Pricing unavailable
  • GPT-5 nano$0.025

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Benchmark scores not yet available. We only publish numbers we can source from official model cards or independent leaderboards, see methodology.
Pick Claude Opus 4.7 if

Claude Opus 4.7 fits when…

  • Strongest published SWE-bench Verified scores in agent settings
  • Best-in-class writing quality and voice control
  • Excellent long-context recall and citation discipline
Pick GPT-5 nano if

GPT-5 nano fits when…

  • Lowest-cost OpenAI model with vision support
  • Fast P99 latency
  • Good enough for routing and classification
Don't want either?

Consider Claude Sonnet 4.6

Anthropic's mid-tier 4.6 release, the workhorse model behind most production Anthropic deployments.

See Claude Sonnet 4.6 specsClaude Opus 4.7 vs Claude Sonnet 4.6GPT-5 nano vs Claude Sonnet 4.6

Frequently asked

  • Is Claude Opus 4.7 or GPT-5 nano cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    Claude Opus 4.7 accepts 500K tokens vs 400K for GPT-5 nano.
  • Is Claude Opus 4.7 or GPT-5 nano better for coding?
    Both Claude Opus 4.7 and GPT-5 nano are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Neither model ships open weights, both are accessible only via their respective providers' APIs.
  • When were Claude Opus 4.7 and GPT-5 nano released?
    Claude Opus 4.7 was released by Anthropic on 2026-02-15. GPT-5 nano was released by OpenAI on 2025-08-07.
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