GPT-6.1 Sol lists at $2 / $10 per 1M input/output tokens for prompts up to 272K tokens and $4 / $15 above that; Hydrogen is a flat $1.50 / $7.50 across its full 1M window. Artificial Analysis scores Sol (max) at 55 and Hydrogen at 54 (xhigh). Google’s model card compares Hydrogen with GPT-6.1 Terra, not Sol.
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: OpenAI, Retrieved 13 November 2026 · Source: Google DeepMind, 12 November 2026
| Gemini 4 Hydrogen | GPT-6.1 Sol | GPT-6.1 Terra | |
|---|---|---|---|
| Input / 1M (≤272K prompt) | $1.50 (flat to 1M) | $2 | $1 |
| Output / 1M (≤272K prompt) | $7.50 (flat to 1M) | $10 | $5 |
| Input / output above 272K | same flat price | $4 / $15 | $2 / $7.50 |
| Cached input / 1M | $0.075 | $0.10 (short) / $0.20 (long) | $0.05 / $0.10 |
| AA Intelligence Index | 54 (xhigh) · 51 (high) — AA | 55 (max) — AA | 51 (max) — AA |
10M input + 2M output tokens with short prompts: Hydrogen $30; Sol 10 × $2 + 2 × $10 = $40; Terra $20. If every prompt is over 272K tokens, Sol becomes 10 × $4 + 2 × $15 = $70 while Hydrogen stays $30.
In Google’s model-card table Hydrogen scores higher than GPT-6.1 Terra on eight of the nine rows where both have a score (for example SWE-sweep 13.5% vs 5.8%, AutomationBench-AA 76.1% vs 60.2%, HLE-Diamond 58.8% vs 47.3%); Terra leads on Terminal-Bench-Science 0.1 (58.3% vs 51.4%). Terra has no Terminal-Bench 4.1 figure in that table. No Google-published table includes Sol. See the full table. Source: Google DeepMind, 12 November 2026
More comparisons vs Claude Sonnet 5.5 vs Claude Opus 5.5 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.
Author-stated time and cost from public posts, not our benchmark. All same-prompt comparisons →
Author says: same prompt · High · @badboyfoxy, 2026-11-14
| Model | Time | Cost / quota |
|---|---|---|
| Gemini 4 Hydrogen | ~3 min | $1.37 |
| GPT-6.1 Sol | ~15 min | $4.03 |
The author says Hydrogen was faster and cheaper but did horribly on the scene; Sol was more creative. Harness and surface are not controlled. These are the author's runs, not a benchmark.
Author says: same prompt · @Stargridcompass, 2026-11-14
| Model | Time | Cost / quota |
|---|---|---|
| Gemini 4 Hydrogen | 3 min | 2% of 5-h quota |
| GPT-6.2 Sol | 13 min | 10% of 5-h quota |
Same prompt set, per the author: Sol handled detail better; Hydrogen was 4x+ faster and used a fifth of the quota. Quota is the author's subscription window, not dollars.
Same task (prompt not shown identical) · @Q1n9H, 2026-11-14
| Model | Time | Cost / quota |
|---|---|---|
| Gemini 4 Hydrogen | 1 min | not stated |
| Gemini 3.8 Flash | 5 min | not stated |
| GPT-6.1 Sol | 7 min | not stated |
Author reports these timings for the same liquid-surface task; Hydrogen's scene was not as good as Sol's. No cost, exact prompt or effort setting published.
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 49 tok/s, so Hydrogen streamed about 3.5× as fast in AA’s runs.
| Model · thinking/effort level | AA Intelligence Index | Output speed (tok/s) | Minutes per AA Index task | Time to first answer token (s) |
|---|---|---|---|---|
| Gemini 4 Hydrogen · xhigh | 54 | 178 | 14.5 | 44.79 |
| Gemini 4 Hydrogen · high | 51 | 171 | 8.3 | 17.37 |
| Gemini 4 Hydrogen · medium | 41 | 174 | 3.8 | 11.81 |
| Gemini 4 Hydrogen · low | 27 | 173 | 1.4 | 5.58 |
| GPT-6.1 Sol · max | 55 | 49 | 23.3 | 201.02 |
| GPT-6.1 Sol · xhigh | 52 | 47 | 10.7 | 85.75 |
| GPT-6.1 Sol · high | 50 | 48 | 7.9 | 43.12 |
| GPT-6.1 Sol · medium | 46 | 49 | 4.6 | 5.27 |
| GPT-6.1 Sol · low | 35 | 48 | 2.0 | 3.14 |
| Model | Official list price (input / output per 1M) | Our arithmetic per task (50K in + 8K out) | ×1,000 tasks | AA measured cost per Index task |
|---|---|---|---|---|
| Gemini 4 Hydrogen | $1.50 / $7.50 flat | $0.135 | $135 | $3.16 (xhigh) |
| GPT-6.1 Sol | $2 / $10 (≤272K); $4 / $15 above | $0.180 (≤272K prompt) | $180 | $1.27 (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; GPT-6.1 Sol: max 63.7M, xhigh 33.3M, high 24.7M, medium 15.1M, low 8.18M.
Source: Artificial Analysis: Gemini 4 Hydrogen · Artificial Analysis: GPT-6.1 Sol (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.