Gemini 4 Hydrogen vs GPT-5.3-Codex
Gemini 4 Hydrogen leads GPT-5.3-Codex on coding, 77.9 to 60.0 on the Vibe Coding Index, and Gemini 4 Hydrogen costs 1.9x less per output token ($7.50 vs $14.00 per million). Updated November 14, 2026; 8 benchmarks have a result for both.
Gemini 4 Hydrogen or GPT-5.3-Codex: which to pick
Pick Gemini 4 Hydrogen for coding: it scores 77.9 on the Vibe Coding Index against 60.0 for GPT-5.3-Codex.
GPT-5.3-Codex is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 8
- Gemini 4 Hydrogen only
- 42
- GPT-5.3-Codex only
- 25
- Like-for-like categories
- 2 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
Gemini 4 Hydrogen
Gemini 4 Hydrogen scores 77.9 against 60.0.
4 and 3 benchmarks behind the scores
Web design
Design Arena: websites
Gemini 4 Hydrogen
Gemini 4 Hydrogen leads, 1320 against 1155.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Hydrogen has a Vals Index result, 68.5%.
Directional only
Long documents
Listed context window
Gemini 4 Hydrogen
Gemini 4 Hydrogen takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 4 Hydrogen
Gemini 4 Hydrogen $0.0053, GPT-5.3-Codex $0.0088 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.3-Codex has the number, $0.59.
Directional only
At a glance
- Coding index
- Gemini 4 Hydrogen 77.9 from 4 benchmarks, GPT-5.3-Codex 60.0 from 3 benchmarks.
- Widest category
- Coding, 33.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- Design Arena: 3D: Gemini 4 Hydrogen 1415 against GPT-5.3-Codex 987, 53.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Hydrogen $7.50 against GPT-5.3-Codex $14.00 per million output tokens, 1.9x apart.
- Context window
- Gemini 4 Hydrogen takes 1.05M tokens, GPT-5.3-Codex 400K.
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-5.3-Codex | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Web design | 4 | 0 | ||
| All shared boards | 8 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| LiveBench coding | 78.5% | Not measured | Only Gemini 4 Hydrogen measured |
| LMArena WebDev | 1704 | 1406 | Gemini 4 Hydrogen |
| LiveCodeBench (Vals AI) | Not measured | 87.3% | Only GPT-5.3-Codex measured |
| SWE-bench Verified (Vals AI) | Not measured | 78.0% | Only GPT-5.3-Codex measured |
| Terminal-Bench 4 (Vals AI) | 54.0% | Not measured | Only Gemini 4 Hydrogen measured |
| Vibe Code Bench (Vals AI) | 87.8% | 61.8% | Gemini 4 Hydrogen |
| IOI (Vals AI) | Not measured | 53.8% | Only GPT-5.3-Codex measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 53.0% | Only GPT-5.3-Codex measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 54.0% | Not measured | Only Gemini 4 Hydrogen measured |
| FrontierCode 2.0 | 39.0% | Not measured | Only Gemini 4 Hydrogen measured |
| Terminal-Bench | Not measured | 78.4% | Only GPT-5.3-Codex measured |
| WeirdML | Not measured | 79.3% | Only GPT-5.3-Codex measured |
| ALE-Bench | Not measured | 1655.2 | Only GPT-5.3-Codex 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 | 1394 | Gemini 4 Hydrogen |
| LMArena WebDev: HTML | 1743 | 1421 | Gemini 4 Hydrogen |
| LMArena WebDev: from an image | Not measured | 1444 | Only GPT-5.3-Codex measured |
| Terminal-Bench 2.0 | Not measured | 78.4% | Only GPT-5.3-Codex measured |
| CursorBench 4.0 | 57.8% | Not measured | Only Gemini 4 Hydrogen measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1009 | Only GPT-5.3-Codex measured |
| Design Arena: agents building full-stack apps | Not measured | 957 | Only GPT-5.3-Codex measured |
| Design Arena: agents building mobile apps | Not measured | 1045 | Only GPT-5.3-Codex measured |
| Design Arena: agents building Android apps | Not measured | 1084 | Only GPT-5.3-Codex measured |
| Design Arena: agents building Godot games | Not measured | 1124 | Only GPT-5.3-Codex measured |
| LiveBench research | 86.8% | Not measured | Only Gemini 4 Hydrogen measured |
| LiveBench browser | 77.1% | Not measured | Only Gemini 4 Hydrogen measured |
| LiveBench long agentic | 61.8% | Not measured | Only Gemini 4 Hydrogen measured |
| Tax Agent Bench (Vals AI) | 52.3% | Not measured | Only Gemini 4 Hydrogen measured |
| Legal Research Bench (Vals AI) | 53.8% | Not measured | Only Gemini 4 Hydrogen measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.3% | Not measured | Only Gemini 4 Hydrogen measured |
| τ²-Bench Telecom | Not measured | 86.0% | Only GPT-5.3-Codex measured |
| METR time horizons | Not measured | 74.5% | Only GPT-5.3-Codex measured |
| Vending-Bench 2 | Not measured | $5,940 | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.6% | Not measured | Only Gemini 4 Hydrogen measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 91.5% | Only GPT-5.3-Codex measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 42.5% | Only GPT-5.3-Codex measured |
| HLE-Diamond (Artificial Analysis run) | 58.8% | Not measured | Only Gemini 4 Hydrogen measured |
| CritPt v2, hard subset (Artificial Analysis run) | 66.0% | Not measured | Only Gemini 4 Hydrogen 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 |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| 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 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| AA-Omniscience | 46.3 | Not measured | Only Gemini 4 Hydrogen 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 |
| Neither model has a result on the other 16 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Design Arena: websites | 1320 | 1155 | Gemini 4 Hydrogen |
| Design Arena: UI components | Not measured | 1127 | Only GPT-5.3-Codex measured |
| Design Arena: game dev | 1369 | 1151 | Gemini 4 Hydrogen |
| Design Arena: data viz | Not measured | 1161 | Only GPT-5.3-Codex measured |
| Design Arena: 3D | 1415 | 987 | Gemini 4 Hydrogen |
| Design Arena: all code categories | 1333 | 1134 | Gemini 4 Hydrogen |
| Design Arena: SVG | Not measured | 1118 | Only GPT-5.3-Codex measured |
| Design Arena: ASCII art | Not measured | 1146 | Only GPT-5.3-Codex measured |
| LiveBench design | 77.3% | Not measured | Only Gemini 4 Hydrogen measured |
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Vals Index | 68.5% | Not measured | Only Gemini 4 Hydrogen measured |
| LiveBench data analysis | 83.2% | Not measured | Only Gemini 4 Hydrogen measured |
| IFBench | Not measured | 75.4% | Only GPT-5.3-Codex measured |
| Long context reasoning (AA-LCR) | Not measured | 83.3% | Only GPT-5.3-Codex 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 |
| Neither model has a result on the other 32 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GPT-5.3-Codex | 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
Gemini 4 Hydrogen costs less
Repository review
50K input + 3K output tokens
Gemini 4 Hydrogen costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Hydrogen 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-5.3-Codex |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | November 12, 2026 | February 24, 2026 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $1.50 | $1.75 |
| Output $/Mtok | $7.50 | $14.00 |
| Coding index | 77.9 | 60.0 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | $0.59 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Hydrogen better than GPT-5.3-Codex for coding?
Pick Gemini 4 Hydrogen for coding: it scores 77.9 on the Vibe Coding Index against 60.0 for GPT-5.3-Codex. GPT-5.3-Codex is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Gemini 4 Hydrogen or GPT-5.3-Codex?
Gemini 4 Hydrogen costs $1.50 per million input tokens and $7.50 per million output tokens; GPT-5.3-Codex costs $1.75 and $14.00. Cost per solved task is known for GPT-5.3-Codex only.
Which has the bigger context window, Gemini 4 Hydrogen or GPT-5.3-Codex?
Gemini 4 Hydrogen, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 4 Hydrogen vs GPT-5.3-Codex comparison based on?
8 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-5.3-Codex's on 3. Where only one model has a result, the page says so instead of naming a winner.