Is GPT-5.4 Pro better than o3?

GPT-5.4 Pro and o3 are neck and neck on quality (63.1 vs 61.0, within the ±5.0 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.

GPT-5.4 Pro vs o3: which is cheaper, and will that change?

o3 is cheaper today: $3.50 against $67.50 per million tokens, blended at three input tokens per output token. No price change has been announced for either.

Which is faster, GPT-5.4 Pro or o3?

o3 streams 3×+ faster (158 vs 7 output tokens per second, Artificial Analysis 7-day median).

Which is better for long documents?

GPT-5.4 Pro accepts more context: 1,050,000 against 200,000 tokens for o3.

Which has lower latency?

o3 answers first: 5.9 s against 6.7 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.

When was GPT-5.4 Pro released?

GPT-5.4 Pro was released on 4 Mar 2026.

GPT-5.4 Pro vs o3

Full profiles: GPT-5.4 Pro (OpenAI) and o3 (OpenAI): every benchmark, price and rank.

Updated 29 Oct 2026 · Data from 13 sources

As of 29 Oct 2026, GPT-5.4 Pro and o3 are neck and neck on quality (63.1 vs 61.0 on the BenchLeader Index, inside the ±5.0 margin), and o3 is 19× cheaper at $3.50 vs $67.50 per 1M tokens blended. Choose GPT-5.4 Pro for knowledge (74 vs 56), multimodal (70 vs 57), and reasoning (73 vs 61); choose o3 for instruction following (65 vs 63), where it also streams 3×+ faster.

Key facts (as of 29 Oct 2026)

GPT-5.4 Pro scores 63.1 on the BenchLeader Index and o3 scores 61.0 (BenchLeader, 29 Oct 2026).
GPT-5.4 Pro costs $67.50 per 1M tokens blended (list price, 29 Oct 2026).
o3 costs $3.50 per 1M tokens blended (list price, 29 Oct 2026).
o3 streams 3×+ faster than GPT-5.4 Pro (Artificial Analysis, 7-day median, 29 Oct 2026).

GPT-5.4 Pro benchmarks OpenAI

o3 benchmarks OpenAI Open in the comparison tool

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	GPT-5.4 Pro	73 vs 61 category score	High
Knowledge	GPT-5.4 Pro	74 vs 56 category score	High
Images and other media	GPT-5.4 Pro	70 vs 57 category score	High
Following instructions	o3	65 vs 63 category score	Medium
Chat quality (human preference)	–	Only o3 has an Arena rating (61 category score)	Not comparable
Lowest cost	o3	$3.50 vs $67.50 per 1M blended; agentic coding session $0.152 vs $2.52	–
Fastest first answer	Either	6.7 s (GPT-5.4 Pro) vs 5.9 s (o3) to the first answer token	–
High volume on a budget	Neither flagship	A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs	–

Key differences

GPT-5.4 Pro and o3 are neck and neck on quality (63.1 vs 61.0, within the ±5.0 margin).
GPT-5.4 Pro is stronger in knowledge, multimodal, reasoning.
o3 is stronger in instruction following, agents & tools, coding, human preference, long context, maths.
o3 is 19× cheaper ($3.50 vs $67.50 per 1M blended).
o3 streams 22.5× faster (158 vs 7 tokens per second).

At a glance

Spec	GPT-5.4 Pro	o3
Developer	OpenAI	OpenAI
Released	4 Mar 2026	16 Apr 2025
Context window (tokens)	1,050,000	200,000
Compared at	GPT-5.4 Pro	o3
Open weights	No	No
Price in / out / cached input per 1M	$30.00 / $180.00 / –	$2.00 / $8.00 / $0.500

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	GPT-5.4 Pro	o3	Leader
Reasoning	72.6	60.9	GPT-5.4 Pro
Coding	–	61.8	not comparable
Agents & tools	–	70.3	not comparable
Maths	–	70.5	not comparable
Knowledge	73.6	56.1	GPT-5.4 Pro
Instruction following	62.8	65.1	o3
Human preference	–	61.1	not comparable
Multimodal	69.8	56.7	GPT-5.4 Pro
Long context	–	62.1	not comparable

Where sources disagree

Across the 2 benchmarks both have, GPT-5.4 Pro leads 1, o3 leads 1.

Overall index	GPT-5.4 Pro	o3	Leader
BenchLeader Index	63.1	61.0	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	GPT-5.4 Pro	o3
Blended price per 1M tokens	$67.50	$3.50
Input / output per 1M	$30.00 / $180.00	$2.00 / $8.00
Cached input per 1M	–	$0.500
Price per task: chat reply	$0.066	$0.0032
Price per task: summarize a 30-page report	$0.468	$0.029
Price per task: code edit	$0.450	$0.024
Price per task: agentic coding session	$2.52	$0.152
Price per task: structured extraction	$0.096	$0.0056
Output speed	7 tok/s	158 tok/s
Time to first answer	6.7 s	5.9 s
Time to a complete answer	–	9.1 s

Each model is compared at its best-ranked reasoning-effort setting. GPT-5.4 Pro scores 63.1 and takes 7 s to its first answer token; GPT-5.4 Pro (xhigh) scores 59.9 in 7 s. o3 scores 61.0 and takes 6 s to its first answer token; o3 (high) scores 53.8 in 6 s, o3 (medium) scores 53.3 in 6 s. 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

91 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	GPT-5.4 Pro	o3
BenchLeader Index	BenchLeader	63.1	61.0
Instruction following score	BenchLeader	62.8	65.1
Knowledge score	BenchLeader	73.6	56.1
Multimodal score	BenchLeader	69.8	56.7
Reasoning score	BenchLeader	72.6	60.9
Agents & tools score	BenchLeader	–	70.3
Coding score	BenchLeader	–	61.8
Human preference score	BenchLeader	–	61.1
Long context score	BenchLeader	–	62.1
Maths score	BenchLeader	–	70.5
Blended price $/M	BenchLeader	$67.50	$3.50
Output speed	BenchLeader	7 tok/s	158 tok/s
Time to first answer	BenchLeader	6.7 s	5.9 s
Context window	BenchLeader	1,050,000 tokens	200,000 tokens
Reasoning
GPQA Diamond	Epoch AI Benchmarking Hub	94.6%†	81.8%†
Humanity's Last Exam	Scale AI / CAIS	44.3%	20.3%†
SimpleBench	SimpleBench	74.1%	53.1%†
Arena Hard Prompts	Arena (LMArena)	–	1441
GPQA Diamond (AA)	Artificial Analysis	–	82.7%
Humanity's Last Exam (AA)	Artificial Analysis	–	20.1%
GPQA Diamond (Vals)	Vals AI	–	84.1%†
Kagi LLM Benchmark	Kagi LLM Benchmark	–	67.6%
GPQA Diamond (HELM)	HELM Capabilities	–	75.3%
ARC-AGI-1	ARC Prize	94.5%†	60.8%†
ARC-AGI-2	ARC Prize	83.3%†	6.5%†
CritPt	Artificial Analysis	30.0%†	1.1%
SciPredict	Scale AI SEAL	–	17.9%
Chess Puzzles	Epoch AI Benchmarking Hub	59.0%†	36.0%†
Mystery Game Puzzles	Epoch AI Benchmarking Hub	–	29.0%†
CL-bench	Epoch AI Benchmarking Hub	–	17.8%†
LMCA	Epoch AI Benchmarking Hub	–	39.7%†
DTBench	Epoch AI Benchmarking Hub	–	84.8%†
ForecastBench	ForecastBench	–	64.6%
Coding
SWE-bench Verified (Epoch)	Epoch AI Benchmarking Hub	–	62.3%†
WeirdML	WeirdML	57.4%†	52.4%†
GSO-Bench	GSO-Bench	–	8.8%†
Arena Coding	Arena (LMArena)	–	1460
LiveCodeBench	Vals AI	–	83.9%†
Aider Polyglot	Aider polyglot leaderboard	–	81.3%

Show all 91 benchmarks

Metric	Publisher	GPT-5.4 Pro	o3
Coding
SWE-bench Verified (bash only)	SWE-bench	–	58.4%
SWE-bench Verified (any scaffold)	SWE-bench	–	58.4%
CadEval	Epoch AI Benchmarking Hub	–	74.0%†
ALE-Bench	Epoch AI Benchmarking Hub	–	933.5†
LiveCodeBench (AA)	Artificial Analysis	–	80.8%
Agents & tools
GDPval	OpenAI	–	30.8%†
Terminal-Bench Hard	Artificial Analysis	–	37.1%
τ²-Bench Telecom (AA)	Artificial Analysis	–	80.7%
BFCL Overall	Berkeley Function Calling Leaderboard	–	63.0%
DeepResearch Bench	DeepResearch Bench	–	45.2%†
METR Time Horizons	METR	–	63.6%
BrowseComp-Plus	BrowseComp-Plus	–	50.5%
Maths
FrontierMath Tiers 1–3	Epoch AI Benchmarking Hub	82.5%†	33.3%†
FrontierMath Tier 4	Epoch AI Benchmarking Hub	58.5%†	–
OTIS Mock AIME	Epoch AI Benchmarking Hub	–	83.9%†
MATH Level 5	Epoch AI Benchmarking Hub	–	97.8%†
AIME (Vals)	Vals AI	–	85.3%†
MGSM	Vals AI	–	91.8%†
IMO 2025	MathArena	–	16.7%†
MathArena Apex	MathArena	69.8%†	–
Omni-MATH (HELM)	HELM Capabilities	–	71.4%
MATH 500	Vals AI	–	94.6%†
Arena Maths	Arena (LMArena)	–	1448
AIME 2025 (AA)	Artificial Analysis	–	88.3%
Knowledge
SimpleQA Verified	Epoch AI Benchmarking Hub	46.3%†	49.4%†
MMLU-Pro	Vals AI	–	85.6%†
LegalBench	Vals AI	–	83.8%†
CorpFin	Vals AI	–	59.7%†
TaxEval	Vals AI	–	74.6%†
MedQA	Vals AI	–	96.1%†
PRBench Finance	Scale AI SEAL	–	47.7%
PRBench Legal	Scale AI SEAL	–	48.6%
MultiNRC	Scale AI SEAL	62.3%	45.5%†
MMLU-Pro (HELM)	HELM Capabilities	–	85.9%
MedCode	Vals AI	–	47.3%†
MedScribe	Vals AI	–	76.7%†
Instruction following
IFBench	Artificial Analysis	–	71.4%
MultiChallenge	Scale AI SEAL	69.2%	56.6%†
TutorBench	Scale AI SEAL	56.6%	52.1%†
IFEval (HELM)	HELM Capabilities	–	86.9%
WildBench (HELM)	HELM Capabilities	–	86.1%
Arena Instruction Following	Arena (LMArena)	–	1403
Human preference
Arena Text	Arena (LMArena)	–	1432
Arena Creative Writing	Arena (LMArena)	–	1383
Arena Multi-turn	Arena (LMArena)	–	1420
Arena Longer Queries	Arena (LMArena)	–	1411
Lech Mazur Creative Writing	Lech Mazur	–	83.9%†
Multimodal
Arena Vision	Arena (LMArena)	–	1214
MMMU-Pro	Artificial Analysis	–	70.1%
VISTA	Scale AI SEAL	53.9%	50.1%†
MMMU (validation)	MMMU	–	82.9%
MMMU-Pro (official)	MMMU	–	76.4%
MMMU-Pro (Vals)	Vals AI	–	80.4%†
MortgageTax	Vals AI	–	65.7%†
VTB	Scale AI SEAL	–	13.7%
GeoBench	GeoBench	–	60.0%†
VPCT	Epoch AI Benchmarking Hub	–	52.0%†
Long context
Fiction.LiveBench 120k	Fiction.live	–	100.0%†
AA-LCR v1.1	Artificial Analysis	–	74.7%
Composite
Epoch Capabilities Index	Epoch AI Benchmarking Hub	159.6	146.8
AA Intelligence Index v4.3.2	Artificial Analysis	–	20.2
AA Progress Index v1	Artificial Analysis	–	258.3
HELM Capabilities mean	HELM Capabilities	–	81.1%
Safety & honesty
FORTRESS	Scale AI SEAL	14.8%	16.0%
MASK	Scale AI SEAL	91.7%	84.5%†
PropensityBench	Scale AI SEAL	–	10.5%

Data as of 2026-10-29. Best configuration of each model; every score links to its source on the model pages.

What changed

29 Oct 2026 o3: 2 new results (LiveCodeBench (AA), AIME 2025 (AA)).
28 Oct 2026 o3: 1 new result (AA Progress Index v1).
27 Oct 2026 GPT-5.4 Pro: BenchLeader Index 63.6 → 63.1.
21 Oct 2026 GPT-5.4 Pro: 1 score revision.
20 Oct 2026 o3: 1 score revision.
14 Oct 2026 o3: 1 new result (PRBench Legal).
12 Oct 2026 o3: 1 new result (VTB).
11 Oct 2026 GPT-5.4 Pro: BenchLeader Index 62.1 → 63.6.
11 Oct 2026 GPT-5.4 Pro: 1 new result (MultiNRC).
11 Oct 2026 o3: 1 new result (PRBench Legal).

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs

GPT-5.4 Pro vs o3: questions

Is GPT-5.4 Pro better than o3?: GPT-5.4 Pro and o3 are neck and neck on quality (63.1 vs 61.0, within the ±5.0 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.
GPT-5.4 Pro vs o3: which is cheaper, and will that change?: o3 is cheaper today: $3.50 against $67.50 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Which is faster, GPT-5.4 Pro or o3?: o3 streams 3×+ faster (158 vs 7 output tokens per second, Artificial Analysis 7-day median).
Which is better for long documents?: GPT-5.4 Pro accepts more context: 1,050,000 against 200,000 tokens for o3.
Which has lower latency?: o3 answers first: 5.9 s against 6.7 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.