GPT-4.1 Nano model profile

Evidence snapshot:

GPT-4.1 Nano is a OpenAI model profile with a 1,047,576-token context window. The dated catalog snapshot records image, text, file modalities and interfaces for file input, prompt caching, structured output, text generation, tool calling.

GPT-4.1 Nano is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

GPT-4.1 Nano accepts image, text, and file and returns text. The snapshot records file input, prompt caching, structured output, text generation, tool calling, vision, and web search pricing as capabilities or interfaces.

The dated reference snapshot lists $0.1 input and $0.4 output per million tokens. Cached input is $0.025 per million tokens.

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 6 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

GPT-4.1 Nano ranked #96 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Model research profile
Provider or publisher
OpenAI
Context window
1,047,576 tokens
Snapshot date
2026-08-12
Reference catalog ID
openai/gpt-4.1-nano

Context, modalities, and identity

GPT-4.1 Nano accepts image, text, and file and returns text. The snapshot records file input, prompt caching, structured output, text generation, tool calling, vision, and web search pricing as capabilities or interfaces.

Provider or publisher
OpenAI
Context window
1,047,576 tokens
Maximum output
32,768 tokens
Input modalities
image, text, and file
Output modalities
text
Knowledge cutoff
2024-06-30

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters
max_completion_tokens, max_tokens, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p
  • file input
  • prompt caching
  • structured output
  • text generation
  • tool calling
  • vision
  • web search pricing

Dated pricing snapshot

The dated reference snapshot lists $0.1 input and $0.4 output per million tokens. Cached input is $0.025 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date
2026-08-12
Input
$0.1 per 1M tokens
Cached input
$0.025 per 1M tokens
Output
$0.4 per 1M tokens

Benchmark evidence and limitations

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 6 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index
9.6
Coding Index
11.1
Agentic Index
1.2
Design Arena categoryEloWin rateRank
3d97946%#100
codecategories98947.3%#107
dataviz91741.1%#110
gamedev101149.6%#101
uicomponent94943.9%#103
website99348.1%#109

Popularity and market context

GPT-4.1 Nano ranked #96 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank
#96
Global market share
Not inferred
Observation date
2026-08-12

Frequently asked questions

What is GPT-4.1 Nano?

GPT-4.1 Nano is a OpenAI model profile with a 1,047,576-token context window. The dated catalog snapshot records image, text, file modalities and interfaces for file input, prompt caching, structured output, text generation, tool calling.

What context window does GPT-4.1 Nano have?

The dated profile lists 1,047,576 tokens of context and up to 32,768 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for GPT-4.1 Nano?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 6 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is GPT-4.1 Nano available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent GPT-4.1 Nano's global market share?

GPT-4.1 Nano ranked #96 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.

Sources and evidence dates

  1. GPT-4.1 Nano third-party catalog record (catalog, checked 2026-08-12)
  2. Third-party model catalog methodology (methodology, checked 2026-08-12)
  3. OpenAI official model documentation (primary, checked 2026-08-12)
  4. Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)
  5. Design Arena leaderboard and methodology (benchmark, checked 2026-08-12)