Gemini 4 Argon vs GPT-6.1 Terra
Gemini 4 Argon leads GPT-6.1 Terra on coding, 81.0 to 77.4 on the Vibe Coding Index, and GPT-6.1 Terra costs 2.0x less per output token ($5.00 vs $10.00 per million). Updated October 29, 2026; 36 benchmarks have a result for both.
Gemini 4 Argon or GPT-6.1 Terra: which to pick
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 77.4 for GPT-6.1 Terra.
Pick GPT-6.1 Terra for output tokens 2.0x cheaper ($5.00 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 36
- Gemini 4 Argon only
- 71
- GPT-6.1 Terra only
- 0
- 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 77.4.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 51.0 against 50.4.
Same board, both measured
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1316 against 1283.
Same board, both measured
General
Vals Index
Gemini 4 Argon
Gemini 4 Argon leads, 69.2% 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 Argon $0.0070, GPT-6.1 Terra $0.0035 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, GPT-6.1 Terra 77.4 from 4 benchmarks.
- Widest category
- Knowledge, 18.7 points apart on average over 1 shared benchmark.
- Widest single gap
- Tax Agent Bench (Vals AI): Gemini 4 Argon 44.6% against GPT-6.1 Terra 15.2%, 29.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against GPT-6.1 Terra $5.00 per million output tokens, 2.0x apart.
- Context window
- Gemini 4 Argon 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 Argon | Bars | GPT-6.1 Terra | Ties |
|---|---|---|---|---|
| Coding | 5 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 6 | 1 | ||
| Reasoning | 4 | 2 | ||
| Math | 0 | 2 | 1 tie | |
| Knowledge | 1 | 0 | ||
| Web design | 4 | 1 | ||
| General | 3 | 2 | ||
| All shared boards | 23 | 12 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index53
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 94.3% | GPT-6.1 Terra |
| LMArena WebDev | 1679 | 1673 | Gemini 4 Argon |
| Terminal-Bench 4 (Vals AI) | 57.6% | 49.5% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 84.0% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | Not measured | Only Gemini 4 Argon measured |
| ProgramBench (Vals AI) | 2.5% | Not measured | Only Gemini 4 Argon measured |
| IOI (Vals AI) | 100.0% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | Not measured | Only Gemini 4 Argon measured |
| SWE-bench Multimodal (Vals AI) | 56.0% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | 77.9% | Not measured | Only Gemini 4 Argon measured |
| SciCode | 61.8% | 55.1% | Gemini 4 Argon |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 2608.8 | GPT-6.1 Terra |
| LMArena Text: coding | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: software and IT | 1545 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: React | 1694 | 1657 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1667 | 1719 | GPT-6.1 Terra |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| SWE-Bench Pro V2 | 99.2% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| AA Intelligence Index | 50.4 | 51.0 | GPT-6.1 Terra |
| Epoch Capabilities Index | 166.4 | Not measured | Only Gemini 4 Argon measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1191 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | 73.9% | Gemini 4 Argon |
| LiveBench browser | 82.8% | 93.1% | GPT-6.1 Terra |
| LiveBench long agentic | 61.2% | 48.6% | Gemini 4 Argon |
| SREBench (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | 65.4% | Not measured | Only Gemini 4 Argon measured |
| Tax Agent Bench (Vals AI) | 44.6% | 15.2% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 26.0% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | 1.7% | Gemini 4 Argon |
| Excel Modeling Benchmark (Vals AI) | 75.2% | Not measured | Only Gemini 4 Argon measured |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| 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 |
| APEX-Agents | 82.4% | 68.3% | Gemini 4 Argon |
| Remote Labor Index | 17.1% | Not measured | Only Gemini 4 Argon measured |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | 88.7% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 46.2% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 94.3% | Gemini 4 Argon |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI-2 | 91.3% | Not measured | Only Gemini 4 Argon measured |
| Chess puzzles | 59.0% | Not measured | Only Gemini 4 Argon measured |
| Mystery game puzzles | 64.0% | 74.0% | GPT-6.1 Terra |
| EBR-bench | 64.8% | 78.1% | GPT-6.1 Terra |
| LMArena Text: hard prompts | 1542 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: expert | 1549 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts in English | 1539 | Not measured | Only Gemini 4 Argon measured |
| Humanity's Last Exam (Scale run) | 53.2% | 35.7% | Gemini 4 Argon |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 100.0% | Tie |
| FrontierMath, tiers 1 to 3 | 86.0% | 90.9% | GPT-6.1 Terra |
| FrontierMath, tier 4 | 78.0% | 92.7% | GPT-6.1 Terra |
| ProofBench | 99.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: math | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: mathematical work | 1549 | Not measured | Only Gemini 4 Argon measured |
| MathArena | 70.0% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | Not measured | Only Gemini 4 Argon measured |
| SimpleQA Verified | 76.0% | 57.3% | Gemini 4 Argon |
| LMArena Text: science | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: medicine and healthcare | 1544 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: legal and government | 1537 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: business and finance | 1515 | Not measured | Only Gemini 4 Argon measured |
| PRBench Finance | 49.9% | Not measured | Only Gemini 4 Argon measured |
| PRBench Legal | 49.4% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Design Arena: websites | 1316 | 1283 | Gemini 4 Argon |
| Design Arena: UI components | 1332 | 1277 | Gemini 4 Argon |
| Design Arena: game dev | 1369 | 1348 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: 3D | 1383 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: all code categories | 1330 | 1295 | Gemini 4 Argon |
| Design Arena: SVG | 1328 | Not measured | Only Gemini 4 Argon measured |
| LiveBench design | 73.7% | 82.3% | 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 index32
| Benchmark | Gemini 4 Argon | GPT-6.1 Terra | Leader |
|---|---|---|---|
| Vals Index | 69.2% | 60.5% | Gemini 4 Argon |
| LiveBench data analysis | 85.2% | 82.3% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 89.5% | Not measured | Only Gemini 4 Argon measured |
| MedScribe (Vals AI) | 87.4% | Not measured | Only Gemini 4 Argon measured |
| Long context reasoning (AA-LCR) | 79.7% | 82.7% | GPT-6.1 Terra |
| DTBench | 97.6% | Not measured | Only Gemini 4 Argon measured |
| LMCA | 63.7% | Not measured | Only Gemini 4 Argon measured |
| Furniture assembly | 72.5% | 79.2% | GPT-6.1 Terra |
| LMArena Text | 1529 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: instruction following | 1533 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: creative writing | 1527 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: English | 1529 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: non-English | 1521 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Chinese | 1600 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: German | 1559 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Japanese | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: French | 1550 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | 1505 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1535 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Polish | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: multi-turn | 1542 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: longer queries | 1542 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: writing and language | 1526 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: entertainment and media | 1520 | Not measured | Only Gemini 4 Argon measured |
| MultiChallenge | 78.7% | 74.2% | Gemini 4 Argon |
| EQ-Bench 4 | 1236 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | 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 Argon | OpenAI GPT-6.1 Terra |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | October 26, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $1.00 |
| Output $/Mtok | $10.00 | $5.00 |
| Coding index | 81.0 | 77.4 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than GPT-6.1 Terra for coding?
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 77.4 for GPT-6.1 Terra. Pick GPT-6.1 Terra for output tokens 2.0x cheaper ($5.00 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Gemini 4 Argon or GPT-6.1 Terra?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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 Argon or GPT-6.1 Terra?
GPT-6.1 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 4 Argon vs GPT-6.1 Terra comparison based on?
36 benchmarks have a result for both models as of October 29, 2026. Gemini 4 Argon's coding index rests on 5 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.