Model comparison
GPT-5 nano vs o3-mini
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5 nano #139 (Estimated); o3-mini #136 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5 nano and o3-mini share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5 nano; 10 to o3-mini.
Updated July 23, 2026- Shared results
- 0
- GPT-5 nano only
- 0
- o3-mini only
- 10
- Comparable categories
- 0 / 8
Benchmark data for GPT-5 nano and o3-mini is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for GPT-5 nano yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o3-mini is priced at $1.10 input / $4.40 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. GPT-5 nano has the larger context window at 400K, compared with 200K for o3-mini.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5 nano | o3-mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5 nano$0.05 input / $0.4 output | o3-mini$1.1 input / $4.4 output | GPT-5 nano has the lower combined listed price. |
| Generation speedtokens per second | GPT-5 nano137 tok/s | o3-mini160 tok/s | o3-mini has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5 nano83.30 s | o3-mini7.12 s | o3-mini reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5 nano400K | o3-mini200K | GPT-5 nano lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | GPT-5 nano | o3-mini | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 28.7% | Not comparable |
Coding2 benchmarks
Knowledge5 benchmarks
Math1 benchmarks
| Benchmark | GPT-5 nano | o3-mini | Result |
|---|---|---|---|
| AIME 2024Source | — | 87.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5 nano | o3-mini | Result |
|---|---|---|---|
| IFEvalSource | — | 93.9% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5 nano and o3-mini on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5 nano and o3-mini today?
GPT-5 nano: $0.05 input / $0.40 output per 1M tokens o3-mini: $1.10 input / $4.40 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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