text model comparison
Gemini 4 Hydrogen vs GPT-6.1 Terra
Gemini 4 Hydrogen and GPT-6.1 Terra are both current text models, from Google and OpenAI. GPT-6.1 Terra is 33% cheaper per 1M input tokens than Gemini 4 Hydrogen, $1 vs $1.50. On Arena WebDev, Gemini 4 Hydrogen scores 1704 Elo and GPT-6.1 Terra 1678 Elo (Arena, measured November 11, 2026). Both accept about 1.05M tokens of context (1,048,576 and 1,050,000).
- Higher Arena WebDev
- Gemini 4 Hydrogen1704 Elo against 1678 Elo
- Lower price per 1M input tokens
- GPT-6.1 Terra$1 against $1.50
- Longer context window
- GPT-6.1 Terra1.05M tokens against 1.05M tokens
- Newer release
- Gemini 4 HydrogenNov 2026 against Oct 2026
Data verified November 15, 2026 · Dataset 2026-11-15
Side by side
Gemini 4 Hydrogen and GPT-6.1 Terra, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Gemini 4 Hydrogen | GPT-6.1 Terra |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $1.50 | $1 (better) |
| Price per 1M output tokens | $7.50 | $5 (better) |
| Independent benchmarks | ||
| Arena WebDev | 1704 Elo (#7 of 45) (better) | 1678 Elo (#10 of 45) |
| Arena Text | 1490 Elo (#7 of 50) | Not measured |
| GPQA Diamond | Not measured | 94.3% (#8 of 40) |
| FrontierMath Tiers 1-3 (v2) | Not measured | 90.9% (#5 of 39) |
| SimpleQA Verified | Not measured | 57.3% (#15 of 36) |
| Specs | ||
| Provider | OpenAI | |
| Release date | November 12, 2026 | October 26, 2026 |
| Access | API only | API only |
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Max output | 65,536 tokens | 128,000 tokens |
| Input | text, image, audio, video | text, image |
| Output | text | text |
Provider results
What the labs report
Results tables a lab published with one of its models, where it lists both Gemini 4 Hydrogen and GPT-6.1 Terra. These are the lab's own figures, not independent measurements, and each table is read on its own: labs run benchmarks with different harnesses and budgets.
Google DeepMind, Gemini 4 Hydrogen model card table, November 12, 2026Google DeepMind · 2026-11-15
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra |
|---|---|---|
| SWE-sweep | 13.5% (better) | 5.8% |
| Agents' Last Exam v1.1score | 71.6% (better) | 69.8% |
| Vending-Bench 2bank balance | $14,549 (better) | $9,107 |
| OSWorld-2.1offline subset | 77.6% (better) | 74.2% |
| Chartography | 66.6% (better) | 63.2% |
| Terminal-Bench-Science 0.1 | 51.4% | 58.3% (better) |
Google's results table from the Gemini 4 Hydrogen model card, every model at its highest thinking setting; Google's methodology is at deepmind.google/models/evals-methodology/gemini-4-hydrogen. Left out here: AutomationBench-AA and HLE-Diamond, which Google takes from the Artificial Analysis leaderboard, and MKA Climb, where every score but Hydrogen's comes from Artificial Analysis.
Charts
Against every current text model
Where Gemini 4 Hydrogen and GPT-6.1 Terra land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena WebDev, Gemini 4 Hydrogen ranks #7 and GPT-6.1 Terra #10 of 45 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Gemini 4 Hydrogen:#7of 50
1,490 Elo · ahead of 88%
GPT-6.1 Terra: Not scored
Arena WebDev
Gemini 4 Hydrogen:#7of 45
1,704 Elo · ahead of 86%
GPT-6.1 Terra:#10of 45
1,678 Elo · ahead of 80%
GPQA Diamond
Gemini 4 Hydrogen: Not scored
GPT-6.1 Terra:#8of 40
94.3% · ahead of 79%
FrontierMath Tiers 1-3 (v2)
Gemini 4 Hydrogen: Not scored
GPT-6.1 Terra:#5of 39
90.9% · ahead of 89%
SimpleQA Verified
Gemini 4 Hydrogen: Not scored
GPT-6.1 Terra:#15of 36
57.3% · ahead of 60%
Price and context
Price per 1M input tokens
Gemini 4 Hydrogen:#32of 58
$1.50 · cheaper than 44%
GPT-6.1 Terra:#25of 58
$1 · cheaper than 56%
Price per 1M output tokens
Gemini 4 Hydrogen:#36of 58
$7.50 · cheaper than 37%
GPT-6.1 Terra:#31of 58
$5 · cheaper than 47%
Context window
Gemini 4 Hydrogen:#12of 68
1.05M tokens · longer than 61%
GPT-6.1 Terra:#1of 68
1.05M tokens · longer than 85%
Quality against price
Gemini 4 Hydrogen scores 1,490 at $3 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Carbon | $4 | 1,526 | |
| Gemini 4 Argon | $4 | 1,522 | |
| Muse Wonder | Meta | $8 | 1,511 |
| Claude Opus 5.5 | Anthropic | $8 | 1,507 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,497 |
| Gemini 4 Hydrogen | $3 | 1,490 | |
| Kimi K3 | Moonshot Kimi | $6 | 1,487 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Kimi K3.1 Pro | Moonshot Kimi | $4 | 1,485 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,484 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GLM-5.3 | Z.ai | $2.15 | 1,482 |
| GPT-5.5 | OpenAI | $11 | 1,481 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,474 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,473 |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,468 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,464 |
| Grok 4.6 | xAI | $3 | 1,457 |
| GPT-6 Sol | OpenAI | $4 | 1,457 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| Step 5 Preview | StepFun | $1.43 | 1,449 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Grok 4.7 | xAI | $3 | 1,443 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,421 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,420 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Inkling 2 Small | Thinking Machines Lab | $0.47 | 1,412 |
| Solar Pro 4 | Upstage | $0.52 | 1,387 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, Gemini 4 Hydrogen costs 1.5 times as much as GPT-6.1 Terra, at each provider's listed rates.
10M input and 2M output tokens
Gemini 4 Hydrogen costs 1.5× as much
- Gemini 4 Hydrogen
- $30
- GPT-6.1 Terra
- $20
The same, with 9M of the input tokens cached
Gemini 4 Hydrogen costs 1.5× as much
- Gemini 4 Hydrogen
- $17.18
- GPT-6.1 Terra
- $11.45
| Workload or rate | Gemini 4 Hydrogen | GPT-6.1 Terra |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $30 | $20 (better) |
| The same, with 9M of the input tokens cached | $17.18 | $11.45 (better) |
| The same, through the batch API | $15 | Not listed |
| Other listed rates | ||
| 1M input tokens, cached | $0.075 | $0.05 (better) |
| 1M input tokens, batch | $0.75 | Not listed |
| 1M output tokens, batch | $3.75 | Not listed |
| 1M input tokens, prompts over 272K tokens | Not listed | $2 |
| 1M output tokens, prompts over 272K tokens | Not listed | $7.50 |
| 1M input tokens, priority | $2.70 | Not listed |
| 1M output tokens, priority | $13.50 | Not listed |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Gemini 4 Hydrogen
Where it leads
- Higher Arena WebDev score, 1704 Elo vs 1678 Elo
- Accepts audio and video input
- Batch pricing, $0.75 input and $3.75 output per 1M tokens
Best for
- Everyday coding, tool-using agents and parallel sub-agents at a mid-tier price
- Document, chart and video workflows over very long multimodal inputs
Watch out for
- In Google's own table Claude Sonnet 5.5 scores higher on Terminal-Bench 4.1 (63.9% against 57.0%), OSWorld-2.1 (83.9% against 77.6%) and Terminal-Bench-Science 0.1 (59.9% against 51.4%)
- A request returns at most 65,536 output tokens by default; longer outputs, up to 1,048,576 tokens, need Google long-decode mode, and only implicit context caching is supported
- Arena places it below Claude Sonnet 5.5 on WebDev (1704 against 1772) and just below Gemini 3.8 Flash on Arena Text (1490 against 1497), on 4,741 text and 1,997 WebDev votes so far; Epoch AI has not measured it yet
GPT-6.1 Terra
Where it leads
- Lower input and output prices, $1 and $5 vs $1.50 and $7.50 per 1M tokens
- Longer responses, up to 128,000 vs 65,536 output tokens
- Cheaper cached input, $0.05 vs $0.075 per 1M tokens
Best for
- Computer-use and tool-calling agents at half GPT-6.1 Sol's price
- High-volume reasoning work that stays under the 272K long-context threshold
Watch out for
- Prompts over 272,000 input tokens bill the whole request at $2 input and $7.50 output per 1M tokens
- Reads text and images only: audio and video input are not supported
From benchmark to production
Building on Gemini 4 Hydrogen or GPT-6.1 Terra?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150
FAQ
Gemini 4 Hydrogen vs GPT-6.1 Terra FAQ
Which is cheaper, Gemini 4 Hydrogen or GPT-6.1 Terra?
GPT-6.1 Terra is 33% cheaper per 1M input tokens than Gemini 4 Hydrogen, $1 vs $1.50. For 10M input and 2M output tokens, Gemini 4 Hydrogen costs $30 and GPT-6.1 Terra $20 at standard rates.
Which is cheaper with prompt caching, Gemini 4 Hydrogen or GPT-6.1 Terra?
Gemini 4 Hydrogen charges $0.075 per 1M cached input tokens, 95% below its standard input rate, and GPT-6.1 Terra $0.05, 95% below. With 9M of 10M input tokens cached and 2M output tokens, Gemini 4 Hydrogen costs $17.18 and GPT-6.1 Terra $11.45.
Which scores higher on independent benchmarks, Gemini 4 Hydrogen or GPT-6.1 Terra?
Gemini 4 Hydrogen leads on Arena WebDev, 1704 Elo to 1678 Elo. Scores are independent evaluations, not either vendor's launch figures.
How do Gemini 4 Hydrogen and GPT-6.1 Terra compare in Google DeepMind's own results?
In the Gemini 4 Hydrogen model card table (November 12, 2026), Gemini 4 Hydrogen leads on SWE-sweep, 13.5% to 5.8%; Gemini 4 Hydrogen leads on Agents' Last Exam v1.1 (score), 71.6% to 69.8%; Gemini 4 Hydrogen leads on Vending-Bench 2 (bank balance), $14,549 to $9,107. These are Google DeepMind's figures, not independent measurements.
Which has the larger context window, Gemini 4 Hydrogen or GPT-6.1 Terra?
Both accept about 1.05M tokens of context (1,048,576 and 1,050,000). GPT-6.1 Terra returns up to 128,000 tokens per response, Gemini 4 Hydrogen 65,536.
How do Gemini 4 Hydrogen and GPT-6.1 Terra differ in features?
Gemini 4 Hydrogen takes text, image, audio and video input; GPT-6.1 Terra takes text and image.
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More on Gemini 4 Hydrogen and GPT-6.1 Terra
Articles on Gemini 4 Hydrogen and GPT-6.1 Terra
- GPT-6.1 Terra: Price, Benchmarks and When to Use ItOctober 27, 2026
- Gemini 4 Pro Leaks: What's Verified and What's HypeOctober 1, 2026
Related comparisons
- Claude Opus 5.5 vs Gemini 4 Hydrogen
- Claude Haiku 5.5 vs GPT-6.1 Terra
- Claude Sonnet 5.5 vs Gemini 4 Hydrogen
- Claude Sonnet 5.5 vs GPT-6.1 Terra
- DeepSeek-V4-Pro vs Gemini 4 Hydrogen
- Claude Sonnet 5 vs GPT-6.1 Terra
- Gemini 3.1 Pro Preview vs Gemini 4 Hydrogen
- DeepSeek-V4.1-Flash vs GPT-6.1 Terra
- Gemini 3.6 Flash vs Gemini 4 Hydrogen
- Gemini 3.8 Flash vs GPT-6.1 Terra
- Gemini 3.8 Flash vs Gemini 4 Hydrogen
- GPT-6.1 Sol vs GPT-6.1 Terra
Production evaluation
Choosing between Gemini 4 Hydrogen and GPT-6.1 Terra?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
