Gemini 4 Hydrogen vs GPT-6.1 Terra
Gemini 4 Hydrogen leads GPT-6.1 Terra on coding, 77.9 to 76.4 on the Vibe Coding Index, and GPT-6.1 Terra costs 1.5x less per output token ($5.00 vs $7.50 per million). Updated November 14, 2026; 25 benchmarks have a result for both.
Gemini 4 Hydrogen or GPT-6.1 Terra: which to pick
Gemini 4 Hydrogen and GPT-6.1 Terra are level for coding, 77.9 against 76.4 on the Vibe Coding Index, so price and context decide.
Pick GPT-6.1 Terra for output tokens 1.5x cheaper ($5.00 vs $7.50 per million) and a larger context window (1.05M against 1.05M tokens). Pick Gemini 4 Hydrogen for work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 25
- Gemini 4 Hydrogen only
- 25
- GPT-6.1 Terra only
- 30
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Level: 77.9 against 76.4, inside 2 points.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.3.
Directional only
Web design
Design Arena: websites
Gemini 4 Hydrogen
Gemini 4 Hydrogen leads, 1320 against 1287.
Same board, both measured
General
Vals Index
Gemini 4 Hydrogen
Gemini 4 Hydrogen leads, 68.5% against 60.5%.
Same board, both measured
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6.1 Terra
Gemini 4 Hydrogen $0.0053, GPT-6.1 Terra $0.0035 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Hydrogen 77.9 from 4 benchmarks, GPT-6.1 Terra 76.4 from 4 benchmarks.
- Widest category
- Agentic work, 17.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- Tax Agent Bench (Vals AI): Gemini 4 Hydrogen 52.3% against GPT-6.1 Terra 17.1%, 35.2 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Hydrogen $7.50 against GPT-6.1 Terra $5.00 per million output tokens, 1.5x apart.
- Context window
- Gemini 4 Hydrogen takes 1.05M tokens, GPT-6.1 Terra 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 4 Hydrogen | Bars | GPT-6.1 Terra | Ties |
|---|---|---|---|---|
| Coding | 5 | 3 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 1 | 2 | ||
| Knowledge | 1 | 0 | ||
| Web design | 4 | 1 | ||
| General | 2 | 0 | ||
| All shared boards | 18 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index53
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| LiveBench coding | 78.5% | 89.2% | GPT-6.1 Terra |
| LMArena WebDev | 1704 | 1678 | Gemini 4 Hydrogen |
| Terminal-Bench 4 (Vals AI) | 54.0% | 49.5% | Gemini 4 Hydrogen |
| Vibe Code Bench (Vals AI) | 87.8% | 84.0% | Gemini 4 Hydrogen |
| SciCode | Not measured | 55.1% | Only GPT-6.1 Terra measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 54.0% | 55.6% | GPT-6.1 Terra |
| FrontierCode 2.0 | 39.0% | 42.3% | GPT-6.1 Terra |
| MirrorCode | Not measured | 76.7% | Only GPT-6.1 Terra measured |
| ALE-Bench | Not measured | 2608.8 | Only GPT-6.1 Terra measured |
| LMArena Text: coding | 1516 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: software and IT | 1513 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena WebDev: React | 1724 | 1664 | Gemini 4 Hydrogen |
| LMArena WebDev: HTML | 1743 | 1740 | Gemini 4 Hydrogen |
| GameBench 2 | Not measured | 85.8 | Only GPT-6.1 Terra measured |
| Terminal-Bench 4.0 | Not measured | 51.8% | Only GPT-6.1 Terra measured |
| CursorBench 4.0 | 57.8% | Not measured | Only Gemini 4 Hydrogen measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 51.3 | Only GPT-6.1 Terra measured |
| Epoch Capabilities Index | Not measured | 167.7 | Only GPT-6.1 Terra measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Design Arena: agents building mobile apps | Not measured | 1169 | Only GPT-6.1 Terra measured |
| Design Arena: spreadsheets | Not measured | 1027 | Only GPT-6.1 Terra measured |
| LiveBench research | 86.8% | 79.1% | Gemini 4 Hydrogen |
| LiveBench browser | 77.1% | 93.1% | GPT-6.1 Terra |
| LiveBench long agentic | 61.8% | 56.2% | Gemini 4 Hydrogen |
| Tax Agent Bench (Vals AI) | 52.3% | 17.1% | Gemini 4 Hydrogen |
| Legal Research Bench (Vals AI) | 53.8% | 26.0% | Gemini 4 Hydrogen |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.3% | 1.7% | Gemini 4 Hydrogen |
| APEX-Agents | Not measured | 68.3% | Only GPT-6.1 Terra measured |
| SpireClimb | Not measured | 22.3% | Only GPT-6.1 Terra measured |
| Vending-Bench 2 | Not measured | $9,107 | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.6% | 88.7% | GPT-6.1 Terra |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 46.2% | Only GPT-6.1 Terra measured |
| HLE-Diamond (Artificial Analysis run) | 58.8% | 47.3% | Gemini 4 Hydrogen |
| CritPt v2, hard subset (Artificial Analysis run) | 66.0% | 68.0% | GPT-6.1 Terra |
| GPQA Diamond (Epoch AI run) | Not measured | 94.3% | Only GPT-6.1 Terra measured |
| SimpleBench | Not measured | 72.2% | Only GPT-6.1 Terra measured |
| Mystery game puzzles | Not measured | 74.0% | Only GPT-6.1 Terra measured |
| EBR-bench | Not measured | 78.1% | Only GPT-6.1 Terra measured |
| LMArena Text: hard prompts | 1520 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: expert | 1558 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: hard prompts in English | 1514 | Not measured | Only Gemini 4 Hydrogen measured |
| Humanity's Last Exam (Scale run) | Not measured | 35.7% | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 100.0% | Only GPT-6.1 Terra measured |
| FrontierMath, tiers 1 to 3 | Not measured | 90.9% | Only GPT-6.1 Terra measured |
| FrontierMath, tier 4 | Not measured | 92.7% | Only GPT-6.1 Terra measured |
| LMArena Text: math | 1507 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: mathematical work | 1534 | Not measured | Only Gemini 4 Hydrogen measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| AA-Omniscience | 46.3 | 29.6 | Gemini 4 Hydrogen |
| SimpleQA Verified | Not measured | 57.3% | Only GPT-6.1 Terra measured |
| LMArena Text: science | 1519 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: medicine and healthcare | 1488 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: legal and government | 1532 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: business and finance | 1486 | Not measured | Only Gemini 4 Hydrogen measured |
| FACTS Benchmark Suite | Not measured | 74.1% | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Design Arena: websites | 1320 | 1287 | Gemini 4 Hydrogen |
| Design Arena: UI components | Not measured | 1289 | Only GPT-6.1 Terra measured |
| Design Arena: game dev | 1369 | 1332 | Gemini 4 Hydrogen |
| Design Arena: data viz | Not measured | 1164 | Only GPT-6.1 Terra measured |
| Design Arena: 3D | 1415 | 1295 | Gemini 4 Hydrogen |
| Design Arena: all code categories | 1333 | 1299 | Gemini 4 Hydrogen |
| Design Arena: SVG | Not measured | 1290 | Only GPT-6.1 Terra measured |
| LiveBench design | 77.3% | 79.7% | GPT-6.1 Terra |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Vals Index | 68.5% | 60.5% | Gemini 4 Hydrogen |
| LiveBench data analysis | 83.2% | 82.3% | Gemini 4 Hydrogen |
| Long context reasoning (AA-LCR) | Not measured | 82.7% | Only GPT-6.1 Terra measured |
| GDPval-AA | Not measured | 1476 | Only GPT-6.1 Terra measured |
| Furniture assembly | Not measured | 79.2% | Only GPT-6.1 Terra measured |
| LMArena Text | 1502 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: instruction following | 1519 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: creative writing | 1509 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: English | 1499 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: non-English | 1495 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: Chinese | 1631 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: French | 1512 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: Spanish | 1494 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: Russian | 1492 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: multi-turn | 1485 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: longer queries | 1524 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: writing and language | 1500 | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena Text: entertainment and media | 1503 | Not measured | Only Gemini 4 Hydrogen measured |
| MultiChallenge | Not measured | 74.2% | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 30 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-6.1 Terra costs less
Repository review
50K input + 3K output tokens
GPT-6.1 Terra costs less
Agent loop
200K input + 10K output tokens
GPT-6.1 Terra costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 4 Hydrogen | OpenAI GPT-6.1 Terra |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | November 12, 2026 | October 26, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.50 | $1.00 |
| Output $/Mtok | $7.50 | $5.00 |
| Coding index | 77.9 | 76.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Hydrogen better than GPT-6.1 Terra for coding?
Gemini 4 Hydrogen and GPT-6.1 Terra are level for coding, 77.9 against 76.4 on the Vibe Coding Index, so price and context decide. Pick GPT-6.1 Terra for output tokens 1.5x cheaper ($5.00 vs $7.50 per million) and a larger context window (1.05M against 1.05M tokens). Pick Gemini 4 Hydrogen for work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, Gemini 4 Hydrogen or GPT-6.1 Terra?
Gemini 4 Hydrogen costs $1.50 per million input tokens and $7.50 per million output tokens; GPT-6.1 Terra costs $1.00 and $5.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 4 Hydrogen or GPT-6.1 Terra?
GPT-6.1 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 4 Hydrogen vs GPT-6.1 Terra comparison based on?
25 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Hydrogen's coding index rests on 4 independent benchmarks and GPT-6.1 Terra's on 4. Where only one model has a result, the page says so instead of naming a winner.