Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated. AA index and speed are from Artificial Analysis at the high setting.
Charts
Where Gemini 4 Carbon sits on quality against price
Interactive chart loads here. The figures are also in the table below.
Highlighted point is Gemini 4 Carbon. Grey points are the other 26 text models with both figures. Index at each model's best tested setting.
Show the data as a table
Model
Index
Blended US$/1M
GPT-6 Astra
57
20.000
GPT-6.1 Sol
55
4.000
GPT-6.1 Terra
51
2.000
GPT-6 Luna
28
0.200
Claude Fable 5.1
50
20.000
Claude Opus 5.5
58
8.000
Claude Sonnet 5.5
54
4.000
Claude Haiku 5.5
36
0.200
Gemini 4 Carbon
59
4.000
Gemini 4 Argon
50
4.000
Gemini 3.8 Flash
31
1.500
Gemini 3.5 Flash-Lite
12
0.850
Grok 4.7
35
3.000
Muse Wonder
43
8.000
Mistral Large 4
26
1.050
Mistral Small 4
4
0.262
DeepSeek V4.1 Flash 1017
32
0.525
DeepSeek V4 Pro
23
1.980
Qwen3.8-Max
34
3.000
Kimi K3.1 Pro
46
4.000
GLM-5.3
32
2.150
GLM-5.3-Flash
28
0.237
MiniMax M3.1 Flash
29
0.262
MiniMax M3
19
0.525
MiMo-V2.6-Pro
30
0.544
MiMo-V2.6-Flash
27
0.175
Step 5 Preview
29
1.425
List price against similar models
Interactive chart loads here. The figures are also in the table below.
US$ per 1M tokens, standard tier, short prompts. Output left blank where not published.
Google DeepMind releases Gemini Robotics 2.5 for real-world robots
DeepMind says its new vision-language-action model, built with Gemini 4 Argon, was tested on more than 200 tasks, finishes tasks 20% to 30% faster than the previous version and packed automotive parts with a 96% success rate in proof-of-concept tests at Mercedes-Benz. It is rolling out through partners including Agile Robots, Apptronik and Boston Dynamics. The figures are DeepMind's own; more robot training and inference means more GPU demand in data centres.
One robots.txt line to opt a website out of AI training
Google says it will support a shared AI training control in robots.txt, alongside Microsoft, OpenAI and Anthropic. It is based on an IETF draft. Website owners get one switch instead of one per crawler.
Google Cloud revenue more than doubles as Alphabet spends $51.4bn in a quarter
Alphabet put $51.4bn into capex in Q3, about 35% of its technical infrastructure spend going to data centres. Google Cloud revenue grew 103% to $30.7bn.
