Google: Models Intelligence, Performance & Price

Google
Google

This analysis is intended to support you in choosing the best model provided by Google for your use-case.

Most Intelligent

#1
Claude Opus 5 (max)Claude Opus 5 (max)
63
#2
Claude Opus 5 (xhigh)Claude Opus 5 (xhigh)
63
#3
Claude Fable 5 (with fallback)Claude Fable 5 (with fallback)
62
#4
Claude Opus 5 (high)Claude Opus 5 (high)
61
#5
Gemini 3.8 Flash (high) AI StudioGemini 3.8 Flash (high) AI Studio
59

Intelligence index

Total 59 models

Fastest

#1
Gemini 3.5 Flash-Lite AI StudioGemini 3.5 Flash-Lite AI Studio
339 t/s
#2
Gemini 2.5 Flash-Lite (AI Studio)Gemini 2.5 Flash-Lite (AI Studio)
327 t/s
#3
Gemini 3.8 Flash (high) AI StudioGemini 3.8 Flash (high) AI Studio
305 t/s
#4
Gemini 3.1 Flash-Lite (AI Studio)Gemini 3.1 Flash-Lite (AI Studio)
292 t/s
#5
Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio)Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio)
287 t/s

Output speed

Total 59 models

Lowest Price

#1
Gemini 2.5 Flash-Lite (AI Studio)Gemini 2.5 Flash-Lite (AI Studio)
$0.07
#2
Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio)Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio)
$0.07
#3
gpt-oss-20b (high) Vertexgpt-oss-20b (high) Vertex
$0.09
#4
gpt-oss-20b (low) Vertexgpt-oss-20b (low) Vertex
$0.09
#5
gpt-oss-120b (high) Vertexgpt-oss-120b (high) Vertex
$0.12

Blended price (per 1M tokens)

Total 59 models

Google offers 59 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.

  • For intelligence, the top models on Google are Claude Opus 5 (max) (63), Claude Opus 5 (xhigh) (63), and Claude Fable 5 (with fallback) (62).
  • For output speed, the fastest models are Gemini 3.5 Flash-Lite AI Studio (339 t/s), Gemini 2.5 Flash-Lite (AI Studio) (327 t/s), and Gemini 3.8 Flash (high) AI Studio (305 t/s).
  • For latency, Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio) (0.29s), Gemini 2.5 Flash (Non-reasoning) (AI Studio) (0.44s), and Gemini 2.5 Flash (Non-reasoning) (Vertex) (0.58s) offer the lowest time to first answer token.
  • For pricing, Gemini 2.5 Flash-Lite (AI Studio) ($0.07), Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio) ($0.07), and gpt-oss-20b (high) Vertex ($0.09) offer the lowest blended prices per 1M tokens.
  • For context window size, Llama 4 Scout Vertex (1M), Claude Opus 5 (max) (1M), and Claude Opus 5 (xhigh) (1M) support the largest context windows on Google.

Highlights

Artificial Analysis Intelligence Index · Higher is better
Output tokens per second · Higher is better
USD per 1M tokens (blended) · Lower is better

Intelligence Evaluations

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better
See more

Agentic real-world work tasks, (Elo-500)/2000

Agentic tool use

Agentic coding & terminal use

Coding

Reasoning & knowledge

Scientific reasoning

Physics reasoning

Long context reasoning

Agentic knowledge work, Elo

Agentic SaaS workflows

Legal agentic work, criterion pass rate

Agentic business operations

Quantitative analysis on spreadsheets & documents

Instruction following

Long-horizon agentic tasks

No data available

Kubernetes incident root-cause analysis

Visual reasoning

While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Context Window

Context Window

Context window: tokens limit · Higher is better

Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data.

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Pricing

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Performance Summary

Output Speed vs. Price

Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Speed

Measured by Output Speed (tokens per second)

Output Speed

Output tokens per second · Higher is better

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latency

Measured by Time (seconds) to First Token

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time vs. Price

End-to-end response time: end-to-end seconds to output 500 tokens · USD per 1M tokens (blended)
Most attractive quadrant

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Further Analysis
Anthropic logo
Claude Opus 5 (max)
1M
Proprietary
63
$3.31
53
46.17
55.66
--
Anthropic logo
Claude Opus 5 (xhigh)
1M
Proprietary
63
$2.51
51
28.67
38.52
--
Anthropic logo
Claude Fable 5 (with fallback)
1M
Proprietary
62
$3.32
65
108.21
115.87
--
Anthropic logo
Claude Opus 5 (high)
1M
Proprietary
61
$1.67
49
16.26
26.40
--
Google logo
Gemini 3.8 Flash (high) AI Studio
1M
Proprietary
59
$0.58
305
13.39
15.03
--
Anthropic logo
Claude Opus 5 (medium)
1M
Proprietary
59
$0.95
49
6.63
16.78
--
Anthropic logo
Claude Opus 4.8 (max)
1M
Proprietary
57
$2.58
60
14.20
22.51
--
Google logo
Gemini 3.8 Flash (medium) AI Studio
1M
Proprietary
57
$0.41
--
--
--
--
Google logo
Gemini 3.7 Flash (high) AI Studio
1M
Proprietary
56
$0.40
279
10.85
12.64
--
Anthropic logo
Claude Sonnet 5 (max)
1M
Proprietary
55
$2.22
79
179.46
185.75
--
Anthropic logo
Claude Opus 4.7 (max)
1M
Proprietary
55
$3.45
61
10.48
18.62
--
Google logo
Gemini 3.7 Flash (medium) AI Studio
1M
Proprietary
53
$0.26
281
5.70
7.48
--
Anthropic logo
Claude Opus 5 (low)
1M
Proprietary
52
$0.55
49
3.26
13.45
--
Google logo
Gemini 3.5 Flash AI Studio
1M
Proprietary
52
$0.69
189
13.89
16.54
--
Google logo
Gemini 3.8 Flash (low) AI Studio
1M
Proprietary
52
$0.24
--
--
--
--
Google logo
Gemini 3.6 Flash AI Studio
1M
Proprietary
52
$0.34
168
18.49
21.47
--
Google logo
Gemini 3.7 Flash (low) AI Studio
1M
Proprietary
51
$0.16
261
0.78
2.70
--
Anthropic logo
Claude Sonnet 4.6 (max)
200k
Proprietary
48
$1.61
52
99.79
109.38
--
Google logo
Gemini 3.1 Pro Preview (AI Studio)
1M
Proprietary
48
$0.33
103
22.15
27.03
--
Google logo
Gemini 3.1 Pro Preview (Vertex)
1M
Proprietary
48
$0.43
121
20.55
24.69
--
Google logo
Gemini 3.5 Flash (medium)
1M
Proprietary
47*
--
198
13.71
16.24
--
Anthropic logo
Claude Opus 4.6 (max)
1M
Proprietary
45*
--
41
11.16
23.27
--
Anthropic logo
Claude Opus 4.5 Vertex
200k
Proprietary
42*
--
46
11.23
22.18
--
Google logo
Gemini 3 Pro Preview (high) (Vertex)
1M
Proprietary
41*
--
--
--
--
--
Z AI logo
GLM-5
200k
Open
41*
--
68
1.43
54.59
45.79
Anthropic logo
Claude Opus 4.6 (Non-reasoning, high)
1M
Proprietary
39*
--
39
2.62
15.42
--
Google logo
Gemini 3 Flash (AI Studio)
1M
Proprietary
39*
--
180
6.15
8.93
--
Google logo
Gemini 3.5 Flash-Lite AI Studio
1M
Proprietary
37
$0.10
339
7.80
9.27
--
Anthropic logo
Claude 4.5 Sonnet Vertex
1M
Proprietary
37
$0.44
42
9.70
21.51
--
Anthropic logo
Claude Sonnet 4.6 (Non-reasoning, high)
200k
Proprietary
37*
--
44
2.25
13.73
--
Google logo
Gemini 3.5 Flash (minimal) AI Studio
1M
Proprietary
36*
--
182
0.93
3.68
--
Anthropic logo
Claude Opus 4.5 (Non-reasoning) Vertex
200k
Proprietary
36*
--
47
1.30
11.99
--
Anthropic logo
Claude 4.1 Opus Vertex
200k
Proprietary
35*
--
--
--
--
--
Z AI logo
GLM-4.7
200k
Open
34
$0.36
170
0.69
15.41
11.77
Google logo
Gemini 3 Pro Preview (low) (Vertex)
1M
Proprietary
34*
--
--
--
--
--
Kimi logo
Kimi K2 Thinking Vertex
262k
Open
33*
--
219
0.76
12.15
9.11
Anthropic logo
Claude 4 Opus Vertex
200k
Proprietary
32*
--
--
--
--
--
Anthropic logo
Claude 4.5 Sonnet (Non-reasoning) Vertex
1M
Proprietary
30*
--
38
1.33
14.37
--
Anthropic logo
Claude 4.5 Haiku Vertex
200k
Proprietary
30
$0.25
95
10.24
15.52
--
Anthropic logo
Claude 4 Sonnet Vertex
1M
Proprietary
30
$0.45
--
--
--
--
Google logo
Gemma 4 31B (AI Studio)
262k
Open
30
$0.00
35
1.11
64.76
49.42
MiniMax logo
MiniMax-M2 Vertex
197k
Open
29*
--
140
0.62
18.52
14.32
Anthropic logo
Claude 4.1 Opus (Non-reasoning) Vertex
200k
Proprietary
29*
--
--
--
--
--
Google logo
Gemini 3 Flash (Non-reasoning) (AI Studio)
1M
Proprietary
28*
--
170
0.83
3.77
--
Z AI logo
GLM-4.7 (Non-reasoning)
200k
Open
27*
--
165
0.67
3.70
--
Google logo
Gemma 4 26B A4B AI Studio
262k
Open
26
$0.00
47
0.98
53.97
42.39
Anthropic logo
Claude 4 Opus (Non-reasoning) Vertex
200k
Proprietary
26*
--
--
--
--
--
Anthropic logo
Claude 4 Sonnet (Non-reasoning) Vertex
1M
Proprietary
26*
--
--
--
--
--
Google logo
Gemini 2.5 Pro Vertex
1M
Proprietary
26
$0.22
104
25.33
30.13
--
Google logo
Gemini 2.5 Pro (AI Studio)
1M
Proprietary
26
$0.22
123
24.06
28.11
--
Google logo
Gemini 3.1 Flash-Lite (AI Studio)
1M
Proprietary
26
$0.04
292
5.50
7.21
--
Anthropic logo
Claude 4.5 Haiku (Non-reasoning) Vertex
200k
Proprietary
24*
--
90
0.86
6.40
--
OpenAI logo
gpt-oss-120b (high) Vertex
131k
Open
24
$0.04
105
0.73
24.64
19.13
Anthropic logo
Claude 3.7 Sonnet (Non-reasoning) Vertex
200k
Proprietary
24*
--
--
--
--
--
Google logo
Gemini 2.5 Pro (May) (AI Studio)
1M
Proprietary
23*
--
--
--
--
--
DeepSeek logo
DeepSeek V3.1 (Non-reasoning) Vertex
164k
Open
21*
--
--
--
--
--
DeepSeek logo
DeepSeek V3.1 Vertex
164k
Open
21*
--
--
--
--
--
DeepSeek logo
DeepSeek R1 0528 Vertex
164k
Open
20*
--
160
1.18
16.80
12.50
Google logo
Gemini 2.5 Flash (AI Studio)
1M
Proprietary
20*
--
217
17.13
19.43
--
Google logo
Gemini 2.5 Flash (Vertex)
1M
Proprietary
20*
--
173
15.38
18.27
--
Alibaba logo
Qwen3 235B 2507 (Non-reasoning) Vertex
262k
Open
18*
--
103
0.81
5.68
--
Alibaba logo
Qwen3 Coder 480B Vertex
262k
Open
18*
--
156
0.79
3.99
--
Alibaba logo
Qwen3 Next 80B A3B (Reasoning) Vertex
262k
Open
17
$0.04
152
0.70
17.15
13.16
OpenAI logo
gpt-oss-20b (high) Vertex
131k
Open
15
$0.03
142
10.00
27.64
14.11
Google logo
Gemini 2.5 Flash-Lite (Sep) (AI Studio)
1M
Proprietary
15*
--
--
--
--
--
OpenAI logo
gpt-oss-120b (low) Vertex
131k
Open
15
$0.01
93
0.73
27.50
21.42
OpenAI logo
gpt-oss-20b (low) Vertex
131k
Open
14*
--
108
9.51
32.75
18.59
Google logo
Gemini 2.5 Flash (Non-reasoning) (Vertex)
1M
Proprietary
14*
--
161
0.58
3.68
--
Google logo
Gemini 2.5 Flash (Non-reasoning) (AI Studio)
1M
Proprietary
14*
--
196
0.44
2.99
--
Alibaba logo
Qwen3 Next 80B A3B Vertex
262k
Open
14*
--
113
0.69
5.11
--
Google logo
Gemini 2.5 Flash-Lite (Sep) (Non-reasoning) (AI Studio)
1M
Proprietary
13*
--
--
--
--
--
Google logo
Gemini 2.5 Flash-Lite (AI Studio)
1M
Proprietary
11*
--
327
17.58
19.11
--
Google logo
Gemini 2.0 Flash (exp) (AI Studio)
1M
Proprietary
11*
--
--
--
--
--
Meta logo
Llama 4 Scout Vertex
1.31M
Open
10
$0.01
119
0.71
4.90
--
Meta logo
Llama 3.3 70B Vertex
128k
Open
9*
--
136
0.68
4.34
--
Google logo
Gemma 3 27B (AI Studio)
128k
Open
7
$0.00
--
--
--
--
Google logo
Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio)
1M
Proprietary
7*
--
287
0.29
2.03
--
Google logo
Gemma 3 12B (AI Studio)
128k
Open
6
$0.00
--
--
--
--
Google logo
Gemma 3 4B (AI Studio)
128k
Open
1*
--
--
--
--
--
Google logo
Gemma 3n E2B (AI Studio)
32k
Open
1*
--
--
--
--
--
Google logo
Gemma 3 1B (AI Studio)
32k
Open
1*
--
--
--
--
--

Key definitions

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Frequently Asked Questions

Common questions about Google

Google offers 59 models that we track: Claude Opus 5 (max), Claude Opus 5 (xhigh), Claude Fable 5 (with fallback), Claude Opus 5 (high), Gemini 3.8 Flash (high) AI Studio, Claude Opus 5 (medium), Claude Opus 4.8 (max), Gemini 3.7 Flash (high) AI Studio, Claude Sonnet 5 (max), Claude Opus 4.7 (max), Gemini 3.7 Flash (medium) AI Studio, Claude Opus 5 (low), Gemini 3.5 Flash AI Studio, Gemini 3.6 Flash AI Studio, Gemini 3.7 Flash (low) AI Studio, Claude Sonnet 4.6 (max), Gemini 3.1 Pro Preview (AI Studio), Gemini 3.1 Pro Preview (Vertex), Gemini 3.5 Flash (medium), Claude Opus 4.6 (max), Claude Opus 4.5 Vertex, GLM-5, Claude Opus 4.6 (Non-reasoning, high), Gemini 3 Flash (AI Studio), Gemini 3.5 Flash-Lite AI Studio, Claude 4.5 Sonnet Vertex, Claude Sonnet 4.6 (Non-reasoning, high), Gemini 3.5 Flash (minimal) AI Studio, Claude Opus 4.5 (Non-reasoning) Vertex, GLM-4.7, Kimi K2 Thinking Vertex, Claude 4.5 Sonnet (Non-reasoning) Vertex, Claude 4.5 Haiku Vertex, Gemma 4 31B (AI Studio), MiniMax-M2 Vertex, Gemini 3 Flash (Non-reasoning) (AI Studio), GLM-4.7 (Non-reasoning), Gemma 4 26B A4B AI Studio, Gemini 2.5 Pro Vertex, Gemini 2.5 Pro (AI Studio), Gemini 3.1 Flash-Lite (AI Studio), Claude 4.5 Haiku (Non-reasoning) Vertex, gpt-oss-120b (high) Vertex, DeepSeek R1 0528 Vertex, Gemini 2.5 Flash (AI Studio), Gemini 2.5 Flash (Vertex), Qwen3 235B 2507 (Non-reasoning) Vertex, Qwen3 Coder 480B Vertex, Qwen3 Next 80B A3B (Reasoning) Vertex, gpt-oss-20b (high) Vertex, gpt-oss-120b (low) Vertex, gpt-oss-20b (low) Vertex, Gemini 2.5 Flash (Non-reasoning) (Vertex), Gemini 2.5 Flash (Non-reasoning) (AI Studio), Qwen3 Next 80B A3B Vertex, Gemini 2.5 Flash-Lite (AI Studio), Llama 4 Scout Vertex, Llama 3.3 70B Vertex, and Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio).

The most intelligent model available on Google is Claude Opus 5 (max) with an Intelligence Index score of 63.

The fastest model on Google by output speed is Gemini 3.5 Flash-Lite AI Studio at 339.2 tokens per second.

The model with the lowest time to first answer token on Google is Gemini 2.5 Flash-Lite (Non-reasoning) (AI Studio) at 0.29s. Lower latency means faster initial response time.

The most affordable model on Google by blended price is Gemini 2.5 Flash-Lite (AI Studio) at $0.07 per 1M tokens (7:2:1 cache hit/input/output ratio).

Prices on Google vary up to 115x across models, from $0.07 per 1M tokens for Gemini 2.5 Flash-Lite (AI Studio) to $7.70 per 1M tokens for Claude Fable 5 (with fallback).

Yes, Google offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.

46 of 59 models on Google support JSON mode for structured output.

Yes, all 59 models on Google support function calling (tool use).

Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.

When choosing a model on Google, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.