Gemini 4 Argon vs GPT-5.6 Terra
Gemini 4 Argon leads GPT-5.6 Terra on coding, 81.0 to 63.9 on the Vibe Coding Index, and Gemini 4 Argon costs 1.2x less per output token ($10.00 vs $12.00 per million). Updated October 22, 2026; 81 benchmarks have a result for both.
Gemini 4 Argon or GPT-5.6 Terra: which to pick
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 5 benchmarks against 6.
Pick GPT-5.6 Terra for a larger context window (1.05M against 1.05M tokens) and work measured by Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.
- Shared results
- 81
- Gemini 4 Argon only
- 13
- GPT-5.6 Terra only
- 46
- Like-for-like categories
- 8 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 Argon
Gemini 4 Argon scores 81.0 against 63.9.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 42.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Terra has a AA Agentic Index result, 43.2.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.6 Terra has a GPQA Diamond result, 90.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.6 Terra has a MMLU Pro result, 86.7%.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1268.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Argon has a Vals Index result, 69.2%.
Directional only
Long documents
Listed context window
GPT-5.6 Terra
GPT-5.6 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 4 Argon
Gemini 4 Argon $0.0070, GPT-5.6 Terra $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.6 Terra has the number, $0.42.
Directional only
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, GPT-5.6 Terra 63.9 from 6 benchmarks.
- Widest category
- Agentic work, 21.2 points apart on average over 11 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Gemini 4 Argon 57.6% against GPT-5.6 Terra 22.7%, 46.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against GPT-5.6 Terra $12.00 per million output tokens, 1.2x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, GPT-5.6 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 Argon | Bars | GPT-5.6 Terra | Ties |
|---|---|---|---|---|
| Coding | 17 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 11 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 5 | 0 | 1 tie | |
| Knowledge | 7 | 0 | ||
| Web design | 6 | 1 | ||
| General | 19 | 1 | ||
| All shared boards | 77 | 3 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index171
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 86.2% | Gemini 4 Argon |
| LMArena WebDev | 1678 | 1522 | Gemini 4 Argon |
| AA Coding Index | Not measured | 76.7 | Only GPT-5.6 Terra measured |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only GPT-5.6 Terra measured |
| SWE-bench Verified (Vals AI) | Not measured | 95.4% | Only GPT-5.6 Terra measured |
| Terminal-Bench 4 (Vals AI) | 57.6% | 22.7% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 74.6% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 47.8% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | 0.5% | Gemini 4 Argon |
| IOI (Vals AI) | 100.0% | 87.6% | Gemini 4 Argon |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | 77.5% | GPT-5.6 Terra |
| SWE-bench Multimodal (Vals AI) | 56.0% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | 14.8% | Gemini 4 Argon |
| SkillsBench (Vals AI) | Not measured | 58.9% | Only GPT-5.6 Terra measured |
| CyberBench (Vals AI) | 77.9% | 72.1% | Gemini 4 Argon |
| SciCode | 61.8% | 55.0% | Gemini 4 Argon |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 62.9% | Only GPT-5.6 Terra measured |
| FrontierCode | 47.5% | 41.3% | Gemini 4 Argon |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| WeirdML | Not measured | 78.3% | Only GPT-5.6 Terra measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 1951.4 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | 1485 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1482 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | 1513 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1526 | Gemini 4 Argon |
| LMArena WebDev: from an image | Not measured | 1541 | Only GPT-5.6 Terra measured |
| SciCode | 12.3% | 10.8% | Gemini 4 Argon |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 42.1 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 160.1 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 43.2 | Only GPT-5.6 Terra measured |
| Design Arena: agents building web apps | Not measured | 1120 | Only GPT-5.6 Terra measured |
| Design Arena: agents building full-stack apps | Not measured | 1061 | Only GPT-5.6 Terra measured |
| Design Arena: agents building mobile apps | Not measured | 1111 | Only GPT-5.6 Terra measured |
| Design Arena: agents building Android apps | Not measured | 1062 | Only GPT-5.6 Terra measured |
| Design Arena: agents building games | Not measured | 1083 | Only GPT-5.6 Terra measured |
| Design Arena: HTML slides | Not measured | 1058 | Only GPT-5.6 Terra measured |
| Design Arena: PowerPoint slides | Not measured | 1105 | Only GPT-5.6 Terra measured |
| Design Arena: spreadsheets | 1157 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | 60.4% | Gemini 4 Argon |
| LiveBench browser | 92.0% | 84.0% | Gemini 4 Argon |
| LiveBench long agentic | 69.9% | 48.4% | Gemini 4 Argon |
| SREBench (Vals AI) | 44.3% | 9.5% | Gemini 4 Argon |
| Finance Agent (Vals AI) | 65.4% | 54.4% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 44.6% | 30.0% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 41.4% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | Not measured | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | 75.2% | 66.2% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | 10.0% | Gemini 4 Argon |
| Vals Science Index | 55.4% | Not measured | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| τ²-Bench Telecom | Not measured | 86.3% | Only GPT-5.6 Terra measured |
| APEX-Agents | 82.4% | 58.2% | Gemini 4 Argon |
| BALROG | Not measured | 53.2% | Only GPT-5.6 Terra measured |
| Vending-Bench 2 | $13,718 | $7,343 | Gemini 4 Argon |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 90.9% | Only GPT-5.6 Terra measured |
| LiveBench reasoning | 95.1% | 90.6% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| MMMU Pro (Vals AI) | Not measured | 86.5% | Only GPT-5.6 Terra measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.5% | Only GPT-5.6 Terra measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 42.9% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 93.3% | Gemini 4 Argon |
| ARC-AGI | 98.5% | 96.5% | Gemini 4 Argon |
| ARC-AGI-2 | 91.3% | 83.9% | Gemini 4 Argon |
| SimpleBench | Not measured | 48.9% | Only GPT-5.6 Terra measured |
| Chess puzzles | 59.0% | 47.0% | Gemini 4 Argon |
| Mystery game puzzles | 64.0% | 35.0% | Gemini 4 Argon |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1546 | 1469 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1496 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1465 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1295 | Only GPT-5.6 Terra measured |
| LMArena Vision: homework | Not measured | 1312 | Only GPT-5.6 Terra measured |
| Kagi LLM Benchmark | Not measured | 51.3% | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 99.7% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 86.0% | 86.0% | Tie |
| FrontierMath, tier 4 | 78.0% | 70.7% | Gemini 4 Argon |
| ProofBench | 99.0% | 74.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1465 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1478 | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.7% | Only GPT-5.6 Terra measured |
| LegalBench (Vals AI) | 88.3% | 85.1% | Gemini 4 Argon |
| CorpFin (Vals AI) | Not measured | 65.3% | Only GPT-5.6 Terra measured |
| TaxEval (Vals AI) | Not measured | 76.2% | Only GPT-5.6 Terra measured |
| MortgageTax (Vals AI) | Not measured | 67.3% | Only GPT-5.6 Terra measured |
| MedCode (Vals AI) | 58.8% | 43.4% | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | 43.2% | Gemini 4 Argon |
| LMArena Text: science | 1548 | 1452 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1430 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1461 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1448 | Gemini 4 Argon |
| FACTS Benchmark Suite | Not measured | 52.0% | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1268 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1256 | Gemini 4 Argon |
| Design Arena: game dev | 1377 | 1229 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | 1240 | Gemini 4 Argon |
| Design Arena: 3D | 1388 | 1134 | Gemini 4 Argon |
| Design Arena: all code categories | 1329 | 1241 | Gemini 4 Argon |
| Design Arena: SVG | Not measured | 1219 | Only GPT-5.6 Terra measured |
| Design Arena: ASCII art | Not measured | 1177 | Only GPT-5.6 Terra measured |
| LiveBench design | 73.7% | 76.0% | GPT-5.6 Terra |
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
| Benchmark | Gemini 4 Argon | GPT-5.6 Terra | Leader |
|---|---|---|---|
| Vals Index | 69.2% | Not measured | Only Gemini 4 Argon measured |
| LiveBench data analysis | 85.2% | 79.3% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 69.8% | 62.4% | Gemini 4 Argon |
| SAGE (Vals AI) | 53.6% | 47.0% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 82.9% | Gemini 4 Argon |
| Vals Multimodal Index | Not measured | 65.1% | Only GPT-5.6 Terra measured |
| IFBench | Not measured | 71.2% | Only GPT-5.6 Terra measured |
| Long context reasoning (AA-LCR) | 79.7% | 83.0% | GPT-5.6 Terra |
| DTBench | 97.6% | 93.3% | Gemini 4 Argon |
| LMCA | 63.7% | 54.9% | Gemini 4 Argon |
| Surface Evolver Bench | Not measured | 83.8% | Only GPT-5.6 Terra measured |
| Furniture assembly | 72.5% | 54.2% | Gemini 4 Argon |
| LMArena Text | 1532 | 1448 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1456 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1413 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1271 | Only GPT-5.6 Terra measured |
| LMArena Text: English | 1538 | 1449 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1441 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1514 | Gemini 4 Argon |
| LMArena Text: German | Not measured | 1460 | Only GPT-5.6 Terra measured |
| LMArena Text: Japanese | Not measured | 1454 | Only GPT-5.6 Terra measured |
| LMArena Text: Korean | Not measured | 1427 | Only GPT-5.6 Terra measured |
| LMArena Text: French | Not measured | 1466 | Only GPT-5.6 Terra measured |
| LMArena Text: Spanish | 1503 | 1451 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1452 | Gemini 4 Argon |
| LMArena Text: Polish | Not measured | 1446 | Only GPT-5.6 Terra measured |
| LMArena Text: multi-turn | 1556 | 1453 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1454 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1431 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1418 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1272 | Only GPT-5.6 Terra measured |
| LMArena Vision: Chinese | Not measured | 1337 | Only GPT-5.6 Terra measured |
| LMArena Vision: reading text | Not measured | 1278 | Only GPT-5.6 Terra measured |
| LMArena Vision: humor | Not measured | 1236 | Only GPT-5.6 Terra measured |
| LMArena Vision: creative writing | Not measured | 1248 | Only GPT-5.6 Terra measured |
| LMArena Document | Not measured | 1472 | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-5.6 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
Gemini 4 Argon costs less
Repository review
50K input + 3K output tokens
Gemini 4 Argon costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Argon 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 Argon | OpenAI GPT-5.6 Terra |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | July 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $10.00 | $12.00 |
| Coding index | 81.0 | 63.9 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.42 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than GPT-5.6 Terra for coding?
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 5 benchmarks against 6. Pick GPT-5.6 Terra for a larger context window (1.05M against 1.05M tokens) and work measured by Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.
Which is cheaper, Gemini 4 Argon or GPT-5.6 Terra?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Cost per solved task is known for GPT-5.6 Terra only.
Which has the bigger context window, Gemini 4 Argon or GPT-5.6 Terra?
GPT-5.6 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 4 Argon vs GPT-5.6 Terra comparison based on?
81 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and GPT-5.6 Terra's on 6. Where only one model has a result, the page says so instead of naming a winner.