GPT-5
13 wins13 exact shared benchmarks compared
Compare o3 vs GPT-5 pricing, benchmarks, context and capabilities side by side.

o3 is a model from OpenAI, released on April 16, 2025. Its verified profile includes Text Generation, Reasoning, Image Understanding, Code Generation, Structured Outputs,...
View profile
GPT-5 is a model from OpenAI, released on August 7, 2025. Its verified profile includes Text Generation, Reasoning, Image Understanding, Code Generation, Structured Outpu...
View profileFactual coverage of this comparison. AI Orbit does not declare a universal winner because the better choice depends on workload and evidence.
Public AI model profiles
Exact verified benchmark overlap
Profiles with structured API pricing
Latest verified pricing or benchmark evidence
Category-level facts from verified pricing, shared benchmarks and structured product data. These signals are not an overall ranking.
13 exact shared benchmarks compared
Lowest verified input-token price
Lowest verified output-token price
Largest comparable context window
Most recent listed release date
Only useful comparison fields are shown. Missing data is never guessed or treated as zero.
| Metric | o3 | GPT-5 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context window | 200,000 | 400,000 |
| Input / 1M tokens | $2.00 | $1.25 |
| Output / 1M tokens | $8.00 | $10.00 |
| Status | Active | Active |
| Release date | Apr 2025 | Aug 2025 |
Estimate monthly token cost from the verified per-million prices stored on each model profile.
Estimate excludes discounts, caching, batch pricing, regional pricing and provider-specific fees unless already reflected in the stored rate.

Pricing verification pending

Pricing verification pending
Only exact benchmarks with verified results for at least two selected items count toward win totals.


| Benchmark | o3 | GPT-5 |
|---|---|---|
| SWE-bench Verified Verified Methodology | 69.10% Verified · Aug 2025 Source | 74.90% Lead Verified · Aug 2025 Source |
| Benchmark | o3 | GPT-5 |
|---|---|---|
| MMMU Methodology | 82.90% Verified · Aug 2025 Source | 84.20% Lead Verified · Aug 2025 Source |
| ERQA Methodology | 64.00% Verified Source | 65.70% Lead Verified Source |
| MMMU-Pro (Average Standard + Vision) Methodology | 76.40% Verified Source | 78.40% Lead Verified Source |
| Benchmark | o3 | GPT-5 |
|---|---|---|
| GPQA Diamond Methodology | 83.30% Verified · Aug 2025 Source | 85.70% Lead Verified · Aug 2025 Source |
| Humanity's Last Exam (No Tools) Methodology | 20.20% Verified Source | 24.80% Lead Verified Source |
| Benchmark | o3 | GPT-5 |
|---|---|---|
| Aider Polyglot (Diff) Methodology | 79.60% Verified Source | 88.00% Lead Verified Source |
| SWE-bench Verified (OpenAI 477 Tasks) Methodology | 69.10% Verified Source | 74.90% Lead Verified Source |
| Benchmark | o3 | GPT-5 |
|---|---|---|
| VideoMMMU (Max 256 Frames) Methodology | 83.30% Verified Source | 84.60% Lead Verified Source |
| Benchmark | o3 | GPT-5 |
|---|---|---|
| CharXiv Reasoning (Python Enabled) Methodology | 78.60% Verified Source | 81.10% Lead Verified Source |
| Benchmark | o3 | GPT-5 |
|---|---|---|
| HMMT 2025 Methodology | 81.70% Verified Source | 93.30% Lead Verified Source |
| FrontierMath (Python tool only) Methodology | 15.80% Verified Source | 26.30% Lead Verified Source |
| AIME 2025 Methodology | 88.90% Verified Source | 94.60% Lead Verified Source |
Shared capabilities are separated from capabilities currently cataloged on only one selected item.


Structured use-case relationships only. Missing relationships are not interpreted as lack of capability.

No unique structured use-case match is verified for this comparison yet.

No unique structured use-case match is verified for this comparison yet.
See how much verified benchmark/pricing evidence supports each profile and when it was last refreshed.


Evidence dates show the latest dated record available to AI Orbit; they do not imply that every field was re-verified on that date.
Quick answers about this comparison.
Compare the side-by-side pricing, benchmark, capability and product data on this page. The better fit depends on your use case and the verified evidence available for each product.
Dynamic benchmark and pricing sections use the latest verified data stored in AI Orbit.
API cost depends on your input/output token mix. Use the cost calculator on this page to estimate the same workload with both models.
AI Orbit currently shows 13 shared verified benchmarks where both products have comparable results. One-sided benchmark evidence is shown separately and is not counted as a head-to-head win.
Build a production-focused model evaluation using real tasks, acceptance thresholds, adversarial cases, latenc...
Read analysis Industry AnalysisAug 18, 2026Map AI capabilities to the software lifecycle—from planning and coding to review, testing, documentation and o...
Read analysis Industry AnalysisAug 14, 2026Compare open-weight and proprietary AI models across control, deployment, privacy, capability, operations, lic...
Read analysis