vs
0:3
overall capability wins (1 ties across 4 scored). GPT-5.5 Pro leads overall.
- Reasoning0:2
- Pricing3:0
- Speed2:0
- Specs0:1
Verdict
GPT-5.5 Pro edges reasoning & knowledge; GPT-5.5 Pro offers ~2.6x larger context (1.1M vs 400K); GPT-5.4 Nano is ~145.9x cheaper on a blended token basis than GPT-5.5 Pro.
- GPT-5.5 Pro edges reasoning & knowledge
- GPT-5.5 Pro offers ~2.6x larger context (1.1M vs 400K)
- GPT-5.4 Nano is ~145.9x cheaper on a blended token basis than GPT-5.5 Pro
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- GPT-5.4 Nano
- $0.51
- GPT-5.5 Pro
- $75
GPT-5.4 Nano is about 146.3x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
OpenAI
OpenAI
Family
GPT-5.x
GPT-5.x
License
Proprietary
Proprietary
Open weights
No
No
Release
Mar 17, 2026
Apr 23, 2026
Knowledge cutoff
-
-
API / provider
OpenAI
OpenAI
Modalities
text, image → text
text, image → text
Specs
Context window
400K
1.1M
Max output
128K
128K
Parameters
—
—
Pricing
Input $/1M
$0.20
$30
Output $/1M
$1.25
$180
Blended $/1M (3∶1)
$0.46
$67.50
Speed
tok/s
180
68
TTFT (s)
0.18
0.8
Reasoning
MMLU-Pro
—
—
GPQA Diamond
81.7
—
Humanity's Last Exam
28.3
43.1
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
25.7
—
AA-LCR v1.1
76.7
—
CritPt
9.3
30.6
MMMU-Pro
65.4
—
IFBench
75.9
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
52.4
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
60.7
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
47.2
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,402
—
| Metric | GPT-5.4 Nano | GPT-5.5 Pro | Delta |
|---|---|---|---|
| Identity | |||
| Organization | OpenAI | OpenAI | — |
| Family | GPT-5.x | GPT-5.x | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Mar 17, 2026 | Apr 23, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | OpenAI | OpenAI | — |
| Modalities | text, image → text | text, image → text | — |
| Specs | |||
| Context window | 400K | 1.1M | B +650K |
| Max output | 128K | 128K | tie |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $0.20 | $30 | A +$29.80 |
| Output $/1M | $1.25 | $180 | A +$178.75 |
| Blended $/1M (3∶1) | $0.46 | $67.50 | A +$67.04 |
| Speed | |||
| tok/s | 180 | 68 | A +112 |
| TTFT (s) | 0.18 | 0.8 | A +0.62 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 81.7 | — | — |
| Humanity's Last Exam | 28.3 | 43.1 | B +14.8 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 25.7 | — | — |
| AA-LCR v1.1 | 76.7 | — | — |
| CritPt | 9.3 | 30.6 | B +21.3 pts |
| MMMU-Pro | 65.4 | — | — |
| IFBench | 75.9 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | 52.4 | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 60.7 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 47.2 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,402 | — | — |
GPT-5.4 Nano
- Context
- 400K / 128K out
- Parameters
- —
- Price
- $0.20 / $1.25
- Speed
- 180 tok/s · 0.18s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Cheapest GPT-5.4 tier for high-volume classification and light assistants.
GPT-5.5 Pro
- Context
- 1.1M / 128K out
- Parameters
- —
- Price
- $30 / $180
- Speed
- 68 tok/s · 0.8s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Premium compute tier for GPT-5.5 with elevated reasoning budgets; priced for highest-complexity workloads.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.