Announced introductory rates for the upcoming broader launch. Regular rates will be $4 input and $20 output per million tokens; the introductory end date and batch discount are not published.
Claude Haiku 5.5AnthropicListed prices and comparisons apply to prompts up to 100K tokens. Above 100K, input costs $0.50, output $2.50 and cache reads $0.05 per million tokens.
Gemini 3.5 Flash-LiteGoogle DeepMindText, image, video and audio inputs share the listed rate. Cache storage and grounding are billed separately.
21 Jul 2026
$0.30
$2.50
$0.03
$0.85
79% cheaper
Gemini 3.8 FlashGoogle DeepMindIntroductory rates through 31 December 2026. From 1 January 2027, input is $1.50, output $7.50 and cached input $0.15 per million tokens. Cache storage and grounding are billed separately.
2 Sept 2026
$0.75
$3.75
$0.075
$1.50
63% cheaper
Claude Haiku 4.5Anthropic
15 Oct 2025
$1.00
$5.00
$0.10
$2.00
50% cheaper
Grok 4.7SpaceXAIBase rates apply up to 200K context tokens; higher-context requests use different rates. Batch API is not supported. The separate fast variant costs twice as much.
21 Sept 2026
$2.00
$6.00
$0.50
$3.00
25% cheaper
Claude Sonnet 5Anthropic
30 Jun 2026
$2.00
$10
$0.20
$4.00
Same price
Claude Sonnet 5.5AnthropicCache reads were reduced from $0.20 to $0.10 per million tokens on 7 October 2026.
28 Sept 2026
$2.00
$10
$0.10
$4.00
Same price
Gemini 4 ArgonGoogle DeepMind · Limited accessAnnounced introductory rates for the upcoming broader launch. Regular rates will be $4 input and $20 output per million tokens; the introductory end date and batch discount are not published.
30 Sept 2026
$2.00
$10
$0.10
$4.00
Baseline
GPT-6 SolOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $4, cached input $0.40 and output $15 per million tokens for the full request.
22 Sept 2026
$2.00
$10
$0.20
$4.00
Same price
GPT-6.1 SolOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $4, cached input $0.20 and output $15 per million tokens for the full request.
29 Sept 2026
$2.00
$10
$0.10
$4.00
Same price
Gemini 3.1 ProGoogle DeepMind · PreviewRates apply to prompts up to 200K tokens. Above 200K, input is $4, output $18 and cached input $0.40 per million tokens. Cache storage and grounding are billed separately.
GPT-6.1 Sol and GPT-6 Sol rates were checked on 8 October 2026 against OpenAI model documentation. USD per million tokens, checked 2 Oct 2026 via OpenRouter. Comparison uses the blended price (3 input tokens for every output token). Haiku 5.5 and Sonnet 5.5 prices were updated from Anthropic's 7 October 2026 announcement. Gemini and Grok prices were checked against official Google and xAI documentation on 8 October 2026.
Official benchmark results
Gemini 4 Argon launch results
Reported by Google DeepMind on 30 Sept 2026 · exact values
Exact published scores · Higher is better. Unreported results are omitted.
Benchmark
Gemini 4 Argon
GPT-6 Astra
Claude Fable 5.1
Claude Opus 5.5
Vals IndexKnowledge work
68.9%
63.1%
65.8%
67%
AutomationBenchKnowledge work · Score
51.3%
41.4%
31.4%
42.5%
Vals Finance Agent v2Knowledge work
65.4%
53.5%
58.9%
58.6%
Harvey's Legal Agent BenchmarkKnowledge work
19.6%
5.4%
6.7%
3.8%
DeepSWE v1.1Agentic coding
77.9%
74.1%
67.4%
74.2%
FrontierSWE v2Agentic coding
55%
65.5%
56.3%
62.3%
Vibe Code BenchAgentic coding
91.9%
89.6%
90.3%
90.3%
Terminal-bench 4.0Agentic coding
57.4%
58.2%
57.9%
66.4%
PostTrainBenchML engineering
45.3%
44.3%
40.2%
49.3%
Terminal-Bench Science 0.1Science and math
57.6%
68.1%
52.6%
63.3%
LABBench 2Science and math
88.8%
85.4%
68.6%
73.1%
RiemannBenchScience and math
76%
72%
65.6%
69.6%
GraphWalksLong context · Up to 128k, BFS (F1)
99.7%
98.7%
91.4%
90.6%
GraphWalksLong context · 256k to 1M, BFS (F1)
84.2%
71.8%
65%
66.8%
Agent's Last ExamComputer use · Pass rate
39.5%
34.2%
–
38.2%
OSWorld-2.0Computer use · Offline subset Partial score
69.2%
72.6%
–
–
ChartographyMultimodal understanding
71.6%
71%
46.2%
66.3%
LVBenchMultimodal understanding
91.7%
87.5%
79.7%
83.7%
CWE-bench v1Cybersecurity
68%
68%
58%
67%
View Google DeepMind's original charts
Original chart published by Google DeepMind, shown for reference.Original chart published by Google DeepMind, shown for reference.Original chart published by Google DeepMind, shown for reference.Original chart published by Google DeepMind, shown for reference.Original chart published by Google DeepMind, shown for reference.Original chart published by Google DeepMind, shown for reference.
Bold marks the best reported score in each row.
Exact scores from Google DeepMind's performance table. Argon is initially available to trusted testers.
OSWorld-2.0 uses the offline subset and partial scoring. GraphWalks reports BFS F1, with separate context ranges.
Scores reflect Google's published evaluation setup. Benchmark versions and harnesses can differ from other labs' launch results. A dash means no result was published.
