Gemini 4 Carbon vs GPT-5 Pro
Full profiles: Gemini 4 Carbon (Google) and GPT-5 Pro (OpenAI): every benchmark, price and rank.
Updated · Data from 9 sources
As of 29 Oct 2026, Gemini 4 Carbon and GPT-5 Pro are neck and neck on quality (65.1 vs 59.8 on the BenchLeader Index, inside the ±8.7 margin), and Gemini 4 Carbon is 5.2× cheaper at $8.00 vs $41.25 per 1M tokens blended. Gemini 4 Carbon leads in every category we measure both in.
Key facts (as of 29 Oct 2026)
- Gemini 4 Carbon scores 65.1 on the BenchLeader Index and GPT-5 Pro scores 59.8 (BenchLeader, 29 Oct 2026).
- Gemini 4 Carbon costs $8.00 per 1M tokens blended (list price, 29 Oct 2026).
- GPT-5 Pro costs $41.25 per 1M tokens blended (list price, 29 Oct 2026).
Gemini 4 Carbon benchmarks 
GPT-5 Pro benchmarks Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Reasoning | Gemini 4 Carbon | 79 vs 56 category score | High |
| Knowledge | Gemini 4 Carbon | 76 vs 66 category score | High |
| Lowest cost | Gemini 4 Carbon | $8.00 vs $41.25 per 1M blended; agentic coding session $0.320 vs $1.38 | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Gemini 4 Carbon (high) and GPT-5 Pro are neck and neck on quality (65.1 vs 59.8, within the ±8.7 margin).
- Gemini 4 Carbon (high) is stronger in coding, knowledge, long context, reasoning.
- GPT-5 Pro is stronger in multimodal.
- Gemini 4 Carbon (high) is 5.2× cheaper ($8.00 vs $41.25 per 1M blended).
At a glance
| Spec | Gemini 4 Carbon | GPT-5 Pro |
|---|---|---|
| Developer | OpenAI | |
| Released | 28 Oct 2026 | 7 Aug 2025 |
| Context window (tokens) | 1,000,000 | 400,000 |
| Compared at | Gemini 4 Carbon (high) | GPT-5 Pro |
| Open weights | No | No |
| Price in / out / cached input per 1M | $4.00 / $20.00 / – | $15.00 / $120.00 / – |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Gemini 4 Carbon (high) | GPT-5 Pro | Leader |
|---|---|---|---|
| Reasoning | 78.9 | 56.1 | Gemini 4 Carbon |
| Coding | 71.7 | – | not comparable |
| Knowledge | 75.8 | 65.8 | Gemini 4 Carbon |
| Multimodal | – | 67.4 | not comparable |
| Long context | 64.5 | – | not comparable |
Where sources disagree
Across the 0 benchmarks both have, Gemini 4 Carbon leads 0, GPT-5 Pro leads 0.
| Overall index | Gemini 4 Carbon (high) | GPT-5 Pro | Leader |
|---|---|---|---|
| BenchLeader Index | 65.1 | 59.8 | neck and neck |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | Gemini 4 Carbon (high) | GPT-5 Pro |
|---|---|---|
| Blended price per 1M tokens | $8.00 | $41.25 |
| Input / output per 1M | $4.00 / $20.00 | $15.00 / $120.00 |
| Price per task: chat reply | $0.0076 | $0.042 |
| Price per task: summarize a 30-page report | $0.060 | $0.252 |
| Price per task: code edit | $0.054 | $0.270 |
| Price per task: agentic coding session | $0.320 | $1.38 |
| Price per task: structured extraction | $0.012 | $0.054 |
| Cost to run a full benchmark suite | $7.76 | – |
| Output speed | 100 tok/s | – |
| Time to first answer | 103.1 s | – |
| Time to a complete answer | 108.1 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Carbon (high) scores 65.1 and takes 103 s to its first answer token. GPT-5 Pro scores 59.8. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
47 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Gemini 4 Carbon (high) | GPT-5 Pro |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 65.1 | 59.8 |
| Coding score | BenchLeader | 71.7 | – |
| Knowledge score | BenchLeader | 75.8 | 65.8 |
| Long context score | BenchLeader | 64.5 | – |
| Reasoning score | BenchLeader | 78.9 | 56.1 |
| Multimodal score | BenchLeader | – | 67.4 |
| Blended price $/M | BenchLeader | $8.00 | $41.25 |
| Output speed | BenchLeader | 100 tok/s | – |
| Time to first answer | BenchLeader | 103.1 s | – |
| Context window | BenchLeader | 1,000,000 tokens | 400,000 tokens |
| Reasoning | |||
| Humanity's Last Exam | Scale AI / CAIS | – | 31.6% |
| SimpleBench | SimpleBench | – | 61.6% |
| Humanity's Last Exam (AA) | Artificial Analysis | 60.4% | – |
| HLE-Diamond (AA) | Artificial Analysis | 69.1% | – |
| Kagi LLM Benchmark | Kagi LLM Benchmark | – | 76.8% |
| ARC-AGI-1 | ARC Prize | – | 70.2% |
| ARC-AGI-2 | ARC Prize | – | 18.3% |
| CritPt | Artificial Analysis | 36.0% | – |
| CritPt v2 hard subset (AA) | Artificial Analysis | 63.0% | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 48.0%† |
| Coding | |||
| SciCode | SciCode | 64.2% | – |
| WeirdML | WeirdML | – | 60.4%† |
| Vibe Code Bench v1.1 | Vals AI | 89.1% | – |
| AlgoTune | AlgoTune | – | 1.3† |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 65.2% | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | 48.5% | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 40.6% | – |
| Agents & tools | |||
| Finance Agent v2.1 | Vals AI | 67.2% | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 17.5% | – |
| Legal Research Bench | Vals AI | 55.8% | – |
| Tax Agent Bench | Vals AI | 48.9% | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | 63.1% | – |
| Vending-Bench 2 | Andon Labs | 16484.2† | – |
| AutomationBench | Artificial Analysis | 77.8% | – |
| GDP.pdf (AA) | Artificial Analysis | 28.4% | – |
Show all 47 benchmarks
| Metric | Publisher | Gemini 4 Carbon (high) | GPT-5 Pro |
|---|---|---|---|
| Agents & tools | |||
| AA-Briefcase v1.1 | Artificial Analysis | 1609 | – |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 64.8% | – |
| DeepSearchQA | – | 65.2% | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | – | 55.8%† |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | – | 19.5%† |
| Knowledge | |||
| AA-Omniscience v1.1 | Artificial Analysis | 53.5 | – |
| PRBench Finance | Scale AI SEAL | – | 51.1% |
| PRBench Legal | Scale AI SEAL | – | 49.9% |
| MultiNRC | Scale AI SEAL | – | 65.2% |
| Excel Modeling Benchmark v1.1 | Vals AI | 76.5% | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 58.3% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 88.6% | – |
| Multimodal | |||
| VISTA | Scale AI SEAL | – | 52.4% |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 58.6%† | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 79.3% | – |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 150.6 |
| AA Intelligence Index v5.0 | Artificial Analysis | 59.4 | – |
| AA Progress Index v1 | Artificial Analysis | 351.6 | – |
| Vals Index | Vals AI | 70.4 | – |
| Vals Finance Index | Vals AI | 66.3% | – |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 15.2% |
| MASK | Scale AI SEAL | – | 86.0% |
Data as of 2026-10-29. Best configuration of each model; every score links to its source on the model pages.
What changed
- GPT-5 Pro: 1 new result (PRBench Legal).
- GPT-5 Pro: BenchLeader Index 58.6 → 60.2.
- GPT-5 Pro: 2 new results (PRBench Legal, MultiNRC).
- GPT-5 Pro: BenchLeader Index 60.2 → 58.6.
- GPT-5 Pro: 1 new result (PRBench Finance).
- GPT-5 Pro: 1 new result (PRBench Finance).
- GPT-5 Pro: 1 new result (PRBench Finance).
- GPT-5 Pro: BenchLeader Index 58.4 → 60.2.
- GPT-5 Pro: 2 new results (PRBench Finance, MultiNRC).
- GPT-5 Pro: BenchLeader Index 60.2 → 58.4.
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- GPT-5 Pro vs Claude Opus 5.5
- GPT-5 Pro vs GPT-6 Astra
- GPT-5 Pro vs GPT-6.1 Sol
- GPT-5 Pro vs Claude Fable 5.1
- Gemini 4 Argon vs GPT-5 Pro
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Gemini 4 Carbon vs GPT-5 Pro: questions
- Is Gemini 4 Carbon better than GPT-5 Pro?
- Gemini 4 Carbon (high) and GPT-5 Pro are neck and neck on quality (65.1 vs 59.8, within the ±8.7 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 29 Oct 2026, so check the category scores for your use.
- Gemini 4 Carbon vs GPT-5 Pro: which is cheaper, and will that change?
- Gemini 4 Carbon is cheaper today: $8.00 against $41.25 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Which is better for long documents?
- Gemini 4 Carbon accepts more context: 1,000,000 against 400,000 tokens for GPT-5 Pro.
- When was Gemini 4 Carbon released?
- Gemini 4 Carbon was released on 28 Oct 2026.