vs
0:2
overall capability wins (0 ties across 2 scored). Gemini 3.8 Flash Cyber leads overall.
- Specs0:2
Verdict
Gemini 3.8 Flash Cyber offers ~32.0x larger context (1.0M vs 33K); Gemini 3.8 Flash Cyber allows ~8.0x more max output (66K vs 8K).
- Gemini 3.8 Flash Cyber offers ~32.0x larger context (1.0M vs 33K)
- Gemini 3.8 Flash Cyber allows ~8.0x more max output (66K vs 8K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Gemini 1.0 Pro
- $0.88
- Gemini 3.8 Flash Cyber
- -
Price per 1M tokens
Full comparison
Organization
Family
Gemini
Gemini
License
Proprietary
Proprietary
Open weights
No
No
Release
Dec 6, 2023
Sep 2, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
Modalities
text → text
text → text
Specs
Context window
33K
1.0M
Max output
8K
66K
Parameters
—
—
Pricing
Input $/1M
$0.50
—
Output $/1M
$1.50
—
Blended $/1M (3∶1)
$0.75
-
Speed
tok/s
80
-
TTFT (s)
0.4
-
Reasoning
MMLU-Pro
43.1
—
GPQA Diamond
27.7
—
Humanity's Last Exam
4.2
—
AIME 2025
—
—
MATH-500
40.3
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
11.6
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
11.7
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Gemini 1.0 Pro | Gemini 3.8 Flash Cyber | Delta |
|---|---|---|---|
| Identity | |||
| Organization | — | ||
| Family | Gemini | Gemini | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Dec 6, 2023 | Sep 2, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | — | |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 33K | 1.0M | B +1.0M |
| Max output | 8K | 66K | B +57K |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $0.50 | — | — |
| Output $/1M | $1.50 | — | — |
| Blended $/1M (3∶1) | $0.75 | - | — |
| Speed | |||
| tok/s | 80 | - | — |
| TTFT (s) | 0.4 | - | — |
| Reasoning | |||
| MMLU-Pro | 43.1 | — | — |
| GPQA Diamond | 27.7 | — | — |
| Humanity's Last Exam | 4.2 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | 40.3 | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 11.6 | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 11.7 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Gemini 1.0 Pro
- Context
- 33K / 8K out
- Parameters
- —
- Price
- $0.50 / $1.50
- Speed
- 80 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- Proprietary
First Gemini API generation (gemini-1.0-pro) — 32K text model before the 1.5 long-context multimodal line.
Gemini 3.8 Flash Cyber
- Context
- 1.0M / 66K out
- Parameters
- —
- Price
- —
- Speed
- —
- Modalities
- text → text
- License
- Proprietary
Cybersecurity-specialized Gemini 3.8 Flash fine-tune for autonomous vulnerability discovery and automated patching - limited to the Fairwind Program for governments, critical-infrastructure operators, and trusted software maintainers (no public API).
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.