Model comparison
Gemini 2.5 Pro vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.8 to 45.0 on the Noometry Index. Gemini 2.5 Pro costs 5.8× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 41 shared benchmarks.
Summary
- They share 41 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 2 categories and GPT-6 Astra in 8 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.5 to 32.5.
- The biggest single-benchmark swing is FrontierMath Tier 4: 0% for Gemini 2.5 Pro and 97.6% for GPT-6 Astra.
- Gemini 2.5 Pro is cheaper at $1.25 / $10 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 2.5 Pro | GPT-6 Astra | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 45.0 | 70.8 |
| Released | 2025-03-25 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.25 | $10 |
| Output $ / M tokens | $10 | $50 |
| Results tracked | 78 | 56 |
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Category by category
Coding GPT-6 Astra leads
Gemini 2.5 Pro: 42.4 (#101), GPT-6 Astra: 73.7 (#2)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| LMArena WebDev | 1227 | 1786 |
| SciCode | 42.8% | 56.5% |
| GSO | 3.9% | 79.4% |
| WeirdML | 54% | 93.6% |
| LMArena Coding | 1452 | 1487 |
| ALE-Bench | 785.52 | 2,951 |
| SWE-bench Verified | 57.6% | — |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| FrontierSWE | — | 65.5% |
| LiveBench Coding | 85.9% | — |
| MirrorCode | — | 46.7% |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use GPT-6 Astra leads
Gemini 2.5 Pro: 29.2 (#88), GPT-6 Astra: 52.9 (#3)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| Remote Labor Index | 0.8% | 20.8% |
| BALROG | 43.3% | 68.3% |
| Vending-Bench 2 | 573.64 | 15,515 |
| Terminal-Bench | 32.6% | — |
| APEX-Agents | — | 64.7% |
| GDPval | 23.3% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| GDP.pdf | — | 34.2% |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
Reasoning GPT-6 Astra leads
Gemini 2.5 Pro: 28.8 (#99), GPT-6 Astra: 85.1 (#1)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 4.9% | 95% |
| ARC-AGI-1 | 41% | 98.5% |
| CritPt | 2% | 31.7% |
| Chess Puzzles | 20% | 72% |
| LMArena Hard Prompts | 1455 | 1462 |
| DTBench | 82.4% | 97.3% |
| LMCA | 34.8% | 64.4% |
| Epoch Capabilities Index | 145.32 | 166.45 |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 98.1% |
| EnigmaEval | 5.6% | — |
| EBR-Bench | — | 76.2% |
| LiveBench Reasoning | 89.8% | — |
| Mystery Game Puzzles | — | 84% |
| LiveBench Data Analysis | 79.9% | — |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math GPT-6 Astra leads
Gemini 2.5 Pro: 32.5 (#213), GPT-6 Astra: 93.5 (#2)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 93.7% |
| FrontierMath Tier 4 | 0% | 97.6% |
| OTIS Mock AIME 2024-2025 | 84.7% | 100% |
| LMArena Math | 1450 | 1465 |
| ProofBench | — | 99% |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Erdős | — | 2.9% |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge GPT-6 Astra leads
Gemini 2.5 Pro: 56.0 (#46), GPT-6 Astra: 75.3 (#1)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 85.3% | 95.8% |
| Humanity's Last Exam | 21.6% | 54.8% |
| Vectara Hallucination Rate | 7% | 8.7% |
| LMArena Expert | 1452 | 1483 |
| SimpleQA Verified | — | 75.6% |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal GPT-6 Astra leads
Gemini 2.5 Pro: 45.2 (#18), GPT-6 Astra: 55.0 (#3)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1263 | 1281 |
| LMArena Document | 1421 | 1468 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), GPT-6 Astra: 53.7 (#61)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1451 | 1430 |
| LMArena Chinese | 1507 | 1484 |
| LMArena French | 1472 | 1456 |
| LMArena German | 1487 | 1440 |
| LMArena Japanese | 1461 | 1379 |
| LMArena Korean | 1434 | 1426 |
| LMArena Russian | 1461 | 1436 |
| LMArena Spanish | 1473 | 1407 |
Instruction Following GPT-6 Astra leads
Gemini 2.5 Pro: 75.0 (#75), GPT-6 Astra: 76.3 (#44)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1437 | 1450 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), GPT-6 Astra: 44.5 (#62)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1449 | 1456 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference GPT-6 Astra leads
Gemini 2.5 Pro: 63.7 (#62), GPT-6 Astra: 75.3 (#7)
| Benchmark | Gemini 2.5 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1458 | 1441 |
| LMArena Creative Writing | 1454 | 1418 |
| EQ-Bench Creative Writing | 1421 | 2173 |
| LMArena Multi-Turn | 1453 | 1448 |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 45.0 on the Noometry Index. Gemini 2.5 Pro costs 5.8× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or GPT-6 Astra?
Gemini 2.5 Pro is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is Gemini 2.5 Pro or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 2.5 Pro and GPT-6 Astra share?
41 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-6 Astra has 56.