GPT-4.1 Nano vs GPT-6 Astra
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | GPT-4.1 Nano | GPT-6 Astra |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.4 | UnrankedNot in the 46-model eligible cohort | #1 of 4699.8 score · 2/3-source partial |
| CostLower is better · Published-token output estimate | UnrankedNot in the 45-model eligible cohort | #42 of 45$0.520 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.1 | UnrankedNot in the 38-model eligible cohort | #14 of 3856.4 score · 2/3-source intelligence |
Ranks come from current available eligible cohorts. Intelligence may use a labeled two-of-three partial core. Green highlights appear only when both models are ranked in the same metric, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | GPT-4.1 Nano | GPT-6 Astra |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Family | Gpt 4 1 | Gpt 6 |
| Model | GPT-4.1 Nano | GPT-6 Astra |
| Version | GPT-4.1 Nano | GPT-6 Astra |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-03 |
| Knowledge cutoff | 2024-06-01 | 2026-04-30 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,048K | 1,050K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, computer-use, generation, reasoning, research, tools |
14 comparable fields · 6 material differences · Pair passes the primary-source comparison gate
GPT-4.1 Nano Capabilities
GPT-6 Astra Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Primary Evidence
Sources and Freshness
Questions
GPT-4.1 Nano vs GPT-6 Astra FAQs
Is GPT-4.1 Nano or GPT-6 Astra better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-4.1 Nano and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-4.1 Nano or GPT-6 Astra?+
GPT-4.1 Nano is $0.050 and GPT-6 Astra is $10.00 per million tokens, so GPT-4.1 Nano is cheaper on this metric. GPT-4.1 Nano is $0.20 and GPT-6 Astra is $50.00 per million tokens, so GPT-4.1 Nano is cheaper on this metric.
Which has a larger context window, GPT-4.1 Nano or GPT-6 Astra?+
GPT-6 Astra has the larger sourced context window. GPT-4.1 Nano supports 1,048K and GPT-6 Astra supports 1,050K.
Which performs better in benchmarks, GPT-4.1 Nano or GPT-6 Astra?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-4.1 Nano or GPT-6 Astra be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-4.1 Nano is not marked open weight; GPT-6 Astra is not marked open weight.
Can GPT-4.1 Nano and GPT-6 Astra understand images?+
GPT-4.1 Nano is documented with image input; GPT-6 Astra is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-4.1 Nano or GPT-6 Astra?+
GPT-6 Astra has the larger sourced maximum output: GPT-4.1 Nano supports 33K and GPT-6 Astra supports 128K output tokens.
Do GPT-4.1 Nano and GPT-6 Astra support reasoning and tool use?+
GPT-4.1 Nano: tool calling and image input. GPT-6 Astra: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-4.1 Nano or GPT-6 Astra?+
GPT-4.1 Nano has 2 sourced provider routes; GPT-6 Astra has 2, a tie.
Which offers better value, GPT-4.1 Nano or GPT-6 Astra?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.