BlogLLM Benchmark Scores as Published, Side by Side

GPT-6 Astra vs Gemini 4 Carbon: Benchmark Scores Side by Side

Every test both GPT-6 Astra by OpenAI and Gemini 4 Carbon by Google have a published number for: 18 tests in 11 areas. Each number is as printed, with the page it comes from and the setup it was run under; nothing is ranked or rescored, and two numbers under different setups are two results, not one comparison.

Models GPT-6 Astra, Gemini 4 CarbonData version 2026103001, as of 2026-10-30

Model

What each developer prints on its own model page; a dash means it prints none.

FactGPT-6 AstraGemini 4 Carbon
Released2026-09-032026-10-28
Context window1.05M-
Max output128K-
InputText, image-
OutputText-
WeightsClosed-

Knowledge Work

TestGPT-6 AstraGemini 4 Carbon
AutomationBench
41.4%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 7 more pages
53.9%Google, Gemini 4 Carbon, checked 2026-10-29
Vending-Bench 2 (final balance in USD)
$15515Google, Gemini 4 Carbon, checked 2026-10-29
$16484Google, Gemini 4 Carbon, checked 2026-10-29
Vals Index v2.2
65%Google, Gemini 4 Carbon, checked 2026-10-29
70.4%Google, Gemini 4 Carbon, checked 2026-10-29

Agentic Coding

TestGPT-6 AstraGemini 4 Carbon
Terminal-Bench 4.0
57.9%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 7 more pages
65.2%Google, Gemini 4 Carbon, checked 2026-10-29
FrontierSWE v2
65.5%Anthropic, Claude Opus 5.5 System Card, checked 2026-10-25; printed on 3 more pages
61.2%Google, Gemini 4 Carbon, checked 2026-10-29
SWE-sweep
9.5%Google, Gemini 4 Carbon, checked 2026-10-29
9.6%Google, Gemini 4 Carbon, checked 2026-10-29Harness: mini-swe-agent

Science and Math

TestGPT-6 AstraGemini 4 Carbon
Terminal-Bench Science 0.1
64.6%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 7 more pages
64.8%Google, Gemini 4 Carbon, checked 2026-10-29
RiemannBench
72%Google, Gemini 4 Argon, checked 2026-10-29; printed on 1 more page
80%Google, Gemini 4 Carbon, checked 2026-10-29

Long Context

TestGPT-6 AstraGemini 4 Carbon
GraphWalks BFS 256k to 1M (F1)
71.8%Google, Gemini 4 Argon, checked 2026-10-29; printed on 1 more page
96.2%Google, Gemini 4 Carbon, checked 2026-10-29

Computer Use

TestGPT-6 AstraGemini 4 Carbon
OSWorld 2.1 offline subset
80.9%Google, Gemini 4 Carbon, checked 2026-10-29
81.5%Google, Gemini 4 Carbon, checked 2026-10-29Harness: Gemini CUA harness

Multimodal Understanding

TestGPT-6 AstraGemini 4 Carbon
Chartography (no tools)
71%Google, Gemini 4 Argon, checked 2026-10-29; printed on 1 more pageTools: none
72.5%Google, Gemini 4 Carbon, checked 2026-10-29

Cybersecurity

TestGPT-6 AstraGemini 4 Carbon
ExploitGym
42.4%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 4 more pages
54.8%Google, Gemini 4 Carbon, checked 2026-10-29; printed on 1 more pageHarness: Antigravity
SEC-Bench Pro
85.4%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 4 more pages
88.2%Google, Gemini 4 Carbon, checked 2026-10-29; printed on 1 more pageHarness: Antigravity
CWE-bench v1
68%Google, Gemini 4 Argon, checked 2026-10-29; printed on 2 more pages
71%Google, Gemini 4 Carbon, checked 2026-10-29; printed on 1 more page

Tool Use and Workflows

TestGPT-6 AstraGemini 4 Carbon
Agents' Last Exam v1.1 (score)
73.1%Google, Gemini 4 Carbon, checked 2026-10-29
77.4%Google, Gemini 4 Carbon, checked 2026-10-29Harness: ALE-Claw

Safety and Alignment

TestGPT-6 AstraGemini 4 Carbon
Gray Swan IPI (attack success rate after k attempts)attack success rate after k attempts, lower is better
8.5%Anthropic, Claude Haiku 5.5 System Card, checked 2026-10-19; printed on 2 more pages

Engineering and Design

TestGPT-6 AstraGemini 4 Carbon
Blueprint-Bench 2 (normalized score)
49.7%Google, Gemini 4 Carbon, checked 2026-10-29
58.6%Google, Gemini 4 Carbon, checked 2026-10-29

Preference and Composite Rankings

TestGPT-6 AstraGemini 4 Carbon
Artificial Analysis Intelligence Index v5.0
57Google, Gemini 4 Carbon, checked 2026-10-29
59Google, Gemini 4 Carbon, checked 2026-10-29; printed on 1 more page

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked; a dash means the developer lists that price in another unit or not at all. Cost per task is measured by Vals AI.

PriceGPT-6 AstraGemini 4 Carbon
Input
$10OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $20 per 1M tokens above 272,000 tokens
$2Google, Gemini 4 Carbon launch pricing, checked 2026-10-29Offer: promotional price
Cached input
$1OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $2 per 1M tokens above 272,000 tokens
-
Cache write
$12.5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $25 per 1M tokens above 272,000 tokens
-
Output
$50OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $75 per 1M tokens above 272,000 tokens
$10Google, Gemini 4 Carbon launch pricing, checked 2026-10-29Offer: promotional price
Input, batch
$5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $10 per 1M tokens above 272,000 tokens
-
Cached input, batch
$0.5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $1 per 1M tokens above 272,000 tokens
-
Cache write, batch
$6.25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $12.5 per 1M tokens above 272,000 tokens
-
Output, batch
$25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $37.5 per 1M tokens above 272,000 tokens
-
Input, flex
$5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $10 per 1M tokens above 272,000 tokens
-
Cached input, flex
$0.5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $1 per 1M tokens above 272,000 tokens
-
Cache write, flex
$6.25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $12.5 per 1M tokens above 272,000 tokens
-
Output, flex
$25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $37.5 per 1M tokens above 272,000 tokens
-
Input, fast
$20OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $40 per 1M tokens above 272,000 tokens
-
Cached input, fast
$2OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $4 per 1M tokens above 272,000 tokens
-
Cache write, fast
$25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $50 per 1M tokens above 272,000 tokens
-
Output, fast
$100OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $150 per 1M tokens above 272,000 tokens
-
Input, ultrafast
$60OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $120 per 1M tokens above 272,000 tokens
-
Cached input, ultrafast
$6OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $12 per 1M tokens above 272,000 tokens
-
Cache write, ultrafast
$75OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $150 per 1M tokens above 272,000 tokens
-
Output, ultrafast
$300OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $450 per 1M tokens above 272,000 tokens
-
Cost per taskVals AI, USD, lower is better
$38.51Vals AI, Vibe Code Bench v1.1 leaderboard, checked 2026-10-27Harness: OpenHands
-

GPT-6 Astra has 184 more and Gemini 4 Carbon has 3 more: tests only one of them has a number for, listed on its model page.

More side by side

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. A pair has a page when both models are their developers' flagships and both have a number for at least 10 of the same tests. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.