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Gemini 4 Hydrogen vs Claude Sonnet 5.5

Hydrogen lists at $1.50 / $7.50 per 1M input/output tokens; Claude Sonnet 5.5 at $2 / $10. In Google’s own model-card table Hydrogen scores higher on 7 of 10 benchmarks, while Sonnet 5.5 leads on Terminal-Bench 4.1, OSWorld-2.1 and Terminal-Bench-Science. On the independent Artificial Analysis Intelligence Index, Sonnet 5.5 (max) is 55 and Hydrogen is 54 at xhigh (51 at its default high).

Prices are official list prices retrieved 13 November 2026. Artificial Analysis Intelligence Index figures are from Artificial Analysis model pages retrieved the same day (Hydrogen high = 51 is Google’s citation in its announcement). This site has not run these models. Source: Google AI Studio / Gemini API docs, Retrieved 13 November 2026 · Source: Anthropic, Retrieved 13 November 2026 · Source: Google DeepMind, 12 November 2026 · Source: Google Blog, 12 November 2026

Official list prices and limits, retrieved 13 November 2026.
Gemini 4 HydrogenClaude Sonnet 5.5
Input / 1M tokens$1.50$2
Output / 1M tokens$7.50 (thinking included)$10
Cache hits / 1M$0.075 (implicit caching only)$0.10 (0.05× base input)
Context1,048,576-token unified window; up to 1M output via background long decodeFull 1M window at standard pricing (Anthropic: Claude 4.6 and later)
Free API useFree tier (rate-limited) in AI Studio / Gemini APIFree credits for new users
Artificial Analysis Intelligence Index54 (xhigh) · 51 (high, per Google) — AA page55 (max) — AA page

Google’s head-to-head table

The Gemini 4 Hydrogen model card compares it directly with Claude Sonnet 5.5 and GPT-6.1 Terra. These are vendor-reported numbers; Google links its methodology from the card.

Google DeepMind model card, results as of November 2026 (Google-run; not independently reproduced by this site).
CategoryBenchmarkNotesGemini 4 HydrogenClaude Sonnet 5.5
Agentic codingSWE-sweep13.5%3.1%
Agentic codingTerminal-Bench 4.1Cheating-adjusted / 作弊校正57.0%63.9%
Knowledge workAgents' Last Exam v1.171.6%60.4%
Knowledge workAutomationBench-AA76.1%71.8%
Knowledge workVending-Bench 2Bank balance / 余额$14,549$11,165
Computer useOSWorld-2.1Offline subset / 离线子集77.6%83.9%
MultimodalMKAClimb WSR accuracy53.4%52.0%
MultimodalChartography66.6%61.6%
Science and mathTerminal-Bench-Science 0.151.4%59.9%
ReasoningHLE-Diamond58.8%53.3%

Source: Google DeepMind, 12 November 2026 · Source: Google DeepMind, Cited by the model card, November 2026

Cost example (our arithmetic)

10M input + 2M output tokens, no caching or discounts: Hydrogen = 10 × $1.50 + 2 × $7.50 = $30. Sonnet 5.5 = 10 × $2 + 2 × $10 = $40. Per-token prices are not perfectly comparable across vendors: Anthropic’s pricing page says Claude 4.7 and later models use a newer tokenizer that produces about 30% more tokens for the same text.

Which to pick

More comparisons vs Claude Opus 5.5 vs GPT-6.1 Sol vs Gemini 3.1 Pro vs 3.8 Flash vs Argon / Carbon All benchmarks Pricing

Have you tried Hydrogen against one of these? Submit your case — real public posts get listed and ranked.

Same prompt, side by side: community runs

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

Oil painting of a rocket — result card

Oil painting of a rocket

Same task (prompt not shown identical) · High · @gwammyy, 2026-11-13

ModelTimeCost / quota
Claude Sonnet 5.5not statednot stated
Gemini 4 Hydrogennot statednot stated

The author posted left/right outputs labelled Sonnet 5.5 (high) and Hydrogen (high), with the short request 'Oil painting of rocket'. No time or cost is stated.

Download card

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 model here measured 144 tok/s, so Hydrogen streamed about 1.2× 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
Claude Sonnet 5.5 · max5514133.8272.39
Claude Sonnet 5.5 · xhigh5014214.328.45
Claude Sonnet 5.5 · high421446.710.38
Claude Sonnet 5.5 · medium311294.04.50
Claude Sonnet 5.5 · low261352.62.18
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)
Claude Sonnet 5.5$2 / $10$0.180$180$10.02 (max)

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; Claude Sonnet 5.5: max 335M, xhigh 111M, high 54.7M, medium 29.4M, low 21.3M.

Source: Artificial Analysis: Gemini 4 Hydrogen · Artificial Analysis: Claude Sonnet 5.5 (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.