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Gemini 4 Hydrogen vs Argon vs Carbon

Hydrogen’s paid-tier list price is $1.50 / $7.50 per 1M input/output tokens, flat, with a free API tier and an xhigh thinking level. Carbon and Argon are $2.00 / $10.00 through 30 November 2026 and $4.00 / $20.00 from 1 December 2026, with no free tier and no xhigh in the docs we read. Google reports Artificial Analysis Index 51 for Hydrogen at default high (54 at xhigh) versus 50 for Argon.

Prices and free-tier notes are from the Gemini Developer API pricing page and the Carbon / Argon “what’s new” docs, retrieved 13 November 2026. The Artificial Analysis figures are Google’s wording from the Hydrogen announcement blog, not a table this site ran. Source: Google AI Studio / Gemini API docs, Retrieved 13 November 2026 · Source: Google AI Studio / Gemini API docs, Retrieved 13 November 2026 · Source: Google AI Studio / Gemini API docs, Retrieved 13 November 2026 · Source: Google AI Studio / Gemini API docs, Retrieved 13 November 2026 · Source: Google Blog, 12 November 2026

Official Gemini 4 family list prices and documented options, retrieved 13 November 2026.
HydrogenArgonCarbon
Input / 1M (paid)$1.50 flat$2.00 through 30 Nov 2026; $4.00 from 1 Dec 2026$2.00 through 30 Nov 2026; $4.00 from 1 Dec 2026
Output / 1M (paid)$7.50 flat$10.00 through 30 Nov 2026; $20.00 from 1 Dec 2026$10.00 through 30 Nov 2026; $20.00 from 1 Dec 2026
Cache read / 1M$0.075 implicit only$0.10 through 30 Nov 2026; $0.20 from 1 Dec 2026, implicit only$0.10 through 30 Nov 2026; $0.20 from 1 Dec 2026, implicit only
Free tier (API / AI Studio)Free of charge, rate-limitedNot availableNot available
Thinking levelslow, medium, high (default), xhighlow, medium, high (default medium); no xhigh listedlow, medium, high (default medium); no xhigh listed

Google’s published comparison on one index

The Hydrogen announcement blog says Hydrogen “surpasses Argon on the Artificial Analysis Intelligence Index at its default high thinking level (51 vs. 50, and reaching 54 at its highest xhigh thinking setting).” The blog does not give a Carbon score on that same index in the passage we copied, so we do not invent one.

Which model to pick, only where official specs decide it

Related: Hydrogen vs 3.8 Flash · published scores · full comparison.

Same prompt, side by side: community runs

Author-stated time and cost from public posts, not our benchmark. All same-prompt comparisons →

Three.js Spider-Man model — API cost and working time — result card

Three.js Spider-Man model — API cost and working time

Author says: same prompt · All at highest effort (author) · @VibeDevarf, 2026-11-14

ModelTimeCost / quota
GPT 6 Astra1h 25m$7.37
Claude Opus 5.52h 13m$38.45
Claude Fable 5.22h 03m$41.12
Gemini 4 Argon3h 51m$8.13
Gemini 4 Carbon1h 20m$12.72
Gemini 4 Hydrogen1h 06m$18.08

Same prompt for all six, per the author; building is part of the prompt. Hydrogen was the fastest here but not the cheapest. The author's own run, not a benchmark.

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UP house — same reference, one shot — result card

UP house — same reference, one shot

Author says: same prompt · XHigh (author label) · @noclipepe, 2026-11-13

ModelTimeCost / quota
Gemini 4 Hydrogen12m 49s~$1.09
Gemini 4 Carbon24m 45s~$1.90
Claude Opus 5.536m 46s~$4.20
Claude Fable 5.245m 44s$19.10

Same prompt, same reference, XHigh, one shot — per the author. Fable made the author's best house; Hydrogen the 'haunted version'. Low cost is not the same as best quality.

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Business blog article (2,000–2,500 chars) — blind AI scoring — result card

Business blog article (2,000–2,500 chars) — blind AI scoring

Author says: same prompt · Hydrogen / 3.8 Flash: MEDIUM; Carbon: LOW (author labels) · @domodomo, 2026-11-14

ModelTimeCost / quota
Gemini 4 Hydrogen24.9 s¥4.9
Gemini 3.8 Flash24.4 s¥1.2 (list ¥2.4)
Gemini 4 Carbon30.6 s¥2.5 (list ¥5.0)

Same system prompt and task for all models, per the author; outputs were anonymised and scored twice by an AI judge (Hydrogen 98, 3.8 Flash 97.5, Carbon 83). Hydrogen's 3,143 thinking tokens drove its higher cost. The author's runs, not a benchmark.

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800-character summary of a subsidy document — blind AI scoring — result card

800-character summary of a subsidy document — blind AI scoring

Author says: same prompt · Hydrogen / 3.8 Flash: MEDIUM; Argon: LOW (author labels) · @domodomo, 2026-11-14

ModelTimeCost / quota
Gemini 4 Hydrogen21.0 s¥4.7
Gemini 4 Argon18.6 s¥1.6 (list ¥3.3)
Gemini 3.8 Flash23.5 s¥1.6 (list ¥3.2)

Same instruction for all models, quoted in the post ('only from the material… write 資料からは不明 where unclear'). Scores per the author's AI judge: Hydrogen 97.5, Argon 95.5, 3.8 Flash 84.5 (it omitted the required 'unknown' note). Not a controlled benchmark.

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Speed, tokens per second and cost per task

At its default high level, Hydrogen measured 171 output tokens/s and 8.3 minutes per Artificial Analysis Index task; the fastest level of the other models here measured 66 tok/s, so Hydrogen streamed about 2.6× as fast in AA’s runs.

Measured independently by Artificial Analysis on each vendor's own API (retrieved 14 November 2026); speed is averaged over the past 5 days and changes. A dash means AA had not published that figure. This site did not run these tests.
Model · thinking/effort levelAA Intelligence IndexOutput speed (tok/s)Minutes per AA Index taskTime to first answer token (s)
Gemini 4 Hydrogen · xhigh5417814.544.79
Gemini 4 Hydrogen · high511718.317.37
Gemini 4 Hydrogen · medium411743.811.81
Gemini 4 Hydrogen · low271731.45.58
Gemini 4 Argon · high506629.244.99
Gemini 4 Argon · medium485629.96.34
Gemini 4 Carbon · high606630.970.53
Gemini 4 Carbon · medium586127.922.18
Gemini 4 Carbon · low545128.013.89
The task-cost columns are our arithmetic on official list prices, assuming every model uses the same token counts — they do not (see output volume below), and Anthropic says its newer tokenizer produces about 30% more tokens for the same text. No cache, batch, or grounding fees. The last column is Artificial Analysis’s own measured average, at the prices AA used, for the variant named in brackets.
ModelOfficial list price (input / output per 1M)Our arithmetic per task (50K in + 8K out)×1,000 tasksAA measured cost per Index task
Gemini 4 Hydrogen$1.50 / $7.50 flat$0.135$135$3.16 (xhigh)
Gemini 4 Argon$2 / $10 through 30 Nov 2026; $4 / $20 from 1 Dec 2026$0.180 (to 30 Nov 2026)
$0.360 (from 1 Dec 2026)
$180
$360
$4.97 (high)
Gemini 4 Carbon$2 / $10 through 30 Nov 2026; $4 / $20 from 1 Dec 2026$0.180 (to 30 Nov 2026)
$0.360 (from 1 Dec 2026)
$180
$360
$5.48 (high)

Output tokens Artificial Analysis recorded while running its whole Intelligence Index (more tokens = more cost and time for the same work): Gemini 4 Hydrogen: xhigh 304M, high 110M, medium 54.4M, low 20.3M; Gemini 4 Argon: high 113M, medium 81.7M; Gemini 4 Carbon: high 205M, medium 124M, low 83.9M.

Source: Artificial Analysis: Gemini 4 Hydrogen · Artificial Analysis: Gemini 4 Argon · Artificial Analysis: Gemini 4 Carbon (retrieved 14 November 2026) · Source: Google AI Studio / Gemini API docs, Retrieved 13 November 2026

Plug in your own token counts: Hydrogen cost calculator · all comparisons.