Gemini 4 Argon vs GPT-5.2
Gemini 4 Argon leads GPT-5.2 on coding, 81.0 to 55.9 on the Vibe Coding Index, and Gemini 4 Argon costs 1.4x less per output token ($10.00 vs $14.00 per million). Updated October 22, 2026; 56 benchmarks have a result for both.
vs boards won of 56 shared
Gemini 4 Argon or GPT-5.2: which to pick
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 55.9 for GPT-5.2.
Pick GPT-5.2 for work measured by Long context reasoning (AA-LCR), where it leads.
Model AGemini 4 ArgonGoogle81.0/1005 independent benchmarksNo cost per solved taskModel BGPT-5.2OpenAI55.9/1003 independent benchmarks$1.91 per solved task
- Shared results
- 56
- Gemini 4 Argon only
- 38
- GPT-5.2 only
- 58
- 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 55.9.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 30.4.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5.2 has a GPQA Diamond result, 91.7%.
Directional only
Math
AIME
No call
Only GPT-5.2 has a AIME result, 96.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.2 has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1195.
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
Gemini 4 Argon
Gemini 4 Argon takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 4 Argon
Gemini 4 Argon $0.0070, GPT-5.2 $0.0088 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.2 has the number, $1.91.
Directional only
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, GPT-5.2 55.9 from 3 benchmarks.
- Widest category
- Agentic work, 63.3 points apart on average over 1 shared benchmark.
- Widest single gap
- ProofBench: Gemini 4 Argon 99.0% against GPT-5.2 15.0%, 84.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against GPT-5.2 $14.00 per million output tokens, 1.4x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, GPT-5.2 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 Argon | Bars | GPT-5.2 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 7 | 0 | ||
| Web design | 6 | 0 | ||
| General | 17 | 1 | ||
| All shared boards | 55 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 72.8% | Only GPT-5.2 measured |
| SWE-bench Multilingual | Not measured | 66.7% | Only GPT-5.2 measured |
| LiveBench coding | 89.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1678 | 1417 | Gemini 4 Argon |
| LiveCodeBench (Vals AI) | Not measured | 85.4% | Only GPT-5.2 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.8% | Only GPT-5.2 measured |
| Terminal-Bench 4 (Vals AI) | 57.6% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench (Vals AI) | 91.9% | 53.5% | 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 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 89.4% | Only GPT-5.2 measured |
| SciCode | 61.8% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only GPT-5.2 measured |
| Terminal-Bench | Not measured | 64.9% | Only GPT-5.2 measured |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| GSO-Bench | Not measured | 27.5% | Only GPT-5.2 measured |
| WeirdML | Not measured | 72.2% | Only GPT-5.2 measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 1293.5 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | 1442 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1434 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: HTML | 1643 | 1427 | Gemini 4 Argon |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 9 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 30.4 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 153.7 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1086 | Only GPT-5.2 measured |
| Design Arena: agents building full-stack apps | Not measured | 1043 | Only GPT-5.2 measured |
| Design Arena: agents building mobile apps | Not measured | 1093 | Only GPT-5.2 measured |
| Design Arena: agents building Android apps | Not measured | 1059 | Only GPT-5.2 measured |
| Design Arena: agents building Godot games | Not measured | 1142 | Only GPT-5.2 measured |
| Design Arena: spreadsheets | 1157 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | Not measured | Only Gemini 4 Argon measured |
| LiveBench browser | 92.0% | Not measured | Only Gemini 4 Argon measured |
| LiveBench long agentic | 69.9% | Not measured | Only Gemini 4 Argon measured |
| 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% | Not measured | Only Gemini 4 Argon measured |
| Legal Research Bench (Vals AI) | 54.8% | Not measured | Only Gemini 4 Argon measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | Not measured | Only Gemini 4 Argon measured |
| 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 |
| τ²-Bench Telecom | Not measured | 84.8% | Only GPT-5.2 measured |
| APEX-Agents | 82.4% | Not measured | Only Gemini 4 Argon measured |
| METR time horizons | Not measured | 75.3% | Only GPT-5.2 measured |
| Remote Labor Index | Not measured | 2.5% | Only GPT-5.2 measured |
| GDPval | Not measured | 49.7% | Only GPT-5.2 measured |
| DeepResearch Bench | Not measured | 41.1% | Only GPT-5.2 measured |
| Vending-Bench 2 | $13,718 | $3,591 | Gemini 4 Argon |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 55.9% | Only GPT-5.2 measured |
| Neither model has a result on the other 12 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.7% | Only GPT-5.2 measured |
| LiveBench reasoning | 95.1% | Not measured | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| MMMU Pro (Vals AI) | Not measured | 86.7% | Only GPT-5.2 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.3% | Only GPT-5.2 measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 37.7% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 91.4% | Gemini 4 Argon |
| ARC-AGI | 98.5% | 86.2% | Gemini 4 Argon |
| ARC-AGI-2 | 91.3% | 52.9% | Gemini 4 Argon |
| SimpleBench | Not measured | 45.8% | Only GPT-5.2 measured |
| Chess puzzles | 59.0% | 48.0% | Gemini 4 Argon |
| Mystery game puzzles | 64.0% | 23.0% | Gemini 4 Argon |
| EBR-bench | 64.8% | 23.0% | Gemini 4 Argon |
| VPCT | Not measured | 84.0% | Only GPT-5.2 measured |
| LMArena Text: hard prompts | 1546 | 1428 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1445 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1431 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1265 | Only GPT-5.2 measured |
| LMArena Vision: homework | Not measured | 1276 | Only GPT-5.2 measured |
| Kagi LLM Benchmark | Not measured | 73.3% | Only GPT-5.2 measured |
| Neither model has a result on the other 2 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| AIME | Not measured | 96.9% | Only GPT-5.2 measured |
| MGSM (Vals AI) | Not measured | 94.0% | Only GPT-5.2 measured |
| AA Math Index | Not measured | 99.0 | Only GPT-5.2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 99.0% | Only GPT-5.2 measured |
| OTIS Mock AIME | 100.0% | 96.1% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 86.0% | 67.4% | Gemini 4 Argon |
| FrontierMath, tier 4 | 78.0% | 31.7% | Gemini 4 Argon |
| ProofBench | 99.0% | 15.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1440 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1442 | Gemini 4 Argon |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.2% | Only GPT-5.2 measured |
| LegalBench (Vals AI) | 88.3% | 82.8% | Gemini 4 Argon |
| CaseLaw (Vals AI) | Not measured | 66.0% | Only GPT-5.2 measured |
| CorpFin (Vals AI) | Not measured | 65.9% | Only GPT-5.2 measured |
| TaxEval (Vals AI) | Not measured | 75.8% | Only GPT-5.2 measured |
| MortgageTax (Vals AI) | Not measured | 67.1% | Only GPT-5.2 measured |
| MedQA (Vals AI) | Not measured | 94.1% | Only GPT-5.2 measured |
| MedCode (Vals AI) | 58.8% | 49.8% | Gemini 4 Argon |
| MMLU Pro (Artificial Analysis run) | Not measured | 87.4% | Only GPT-5.2 measured |
| SimpleQA Verified | 76.0% | 37.1% | Gemini 4 Argon |
| LMArena Text: science | 1548 | 1425 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1425 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1427 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1414 | Gemini 4 Argon |
| FACTS Benchmark Suite | Not measured | 48.5% | Only GPT-5.2 measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1195 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1190 | Gemini 4 Argon |
| Design Arena: game dev | 1377 | 1195 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | 1202 | Gemini 4 Argon |
| Design Arena: 3D | 1388 | 1079 | Gemini 4 Argon |
| Design Arena: all code categories | 1329 | 1170 | Gemini 4 Argon |
| Design Arena: SVG | Not measured | 1139 | Only GPT-5.2 measured |
| Design Arena: ASCII art | Not measured | 1152 | Only GPT-5.2 measured |
| LiveBench design | 73.7% | Not measured | Only Gemini 4 Argon measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
| Benchmark | Gemini 4 Argon | GPT-5.2 | Leader |
|---|---|---|---|
| Vals Index | 69.2% | Not measured | Only Gemini 4 Argon measured |
| LiveBench data analysis | 85.2% | Not measured | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 53.6% | 49.3% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 84.4% | Gemini 4 Argon |
| IFBench | Not measured | 75.4% | Only GPT-5.2 measured |
| Long context reasoning (AA-LCR) | 79.7% | 82.7% | GPT-5.2 |
| DTBench | 97.6% | 90.9% | Gemini 4 Argon |
| LMCA | 63.7% | 43.9% | Gemini 4 Argon |
| CL-bench | Not measured | 18.2% | Only GPT-5.2 measured |
| Furniture assembly | 72.5% | 38.3% | Gemini 4 Argon |
| LMArena Text | 1532 | 1416 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1409 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1376 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1246 | Only GPT-5.2 measured |
| LMArena Text: English | 1538 | 1422 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1405 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1447 | Gemini 4 Argon |
| LMArena Text: German | Not measured | 1444 | Only GPT-5.2 measured |
| LMArena Text: Japanese | Not measured | 1420 | Only GPT-5.2 measured |
| LMArena Text: Korean | Not measured | 1374 | Only GPT-5.2 measured |
| LMArena Text: French | Not measured | 1454 | Only GPT-5.2 measured |
| LMArena Text: Spanish | 1503 | 1413 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1415 | Gemini 4 Argon |
| LMArena Text: Polish | Not measured | 1426 | Only GPT-5.2 measured |
| LMArena Text: multi-turn | 1556 | 1419 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1413 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1392 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1378 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1243 | Only GPT-5.2 measured |
| LMArena Vision: Chinese | Not measured | 1305 | Only GPT-5.2 measured |
| LMArena Vision: reading text | Not measured | 1257 | Only GPT-5.2 measured |
| LMArena Vision: humor | Not measured | 1227 | Only GPT-5.2 measured |
| LMArena Vision: captioning | Not measured | 1267 | Only GPT-5.2 measured |
| LMArena Vision: recognizing things | Not measured | 1232 | Only GPT-5.2 measured |
| LMArena Vision: creative writing | Not measured | 1225 | Only GPT-5.2 measured |
| LMArena Document | Not measured | 1405 | Only GPT-5.2 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-5.2 | 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$0.0070Fits in one request
GPT-5.2$0.0088Fits in one request
Gemini 4 Argon costs less
Repository review
50K input + 3K output tokens
Gemini 4 Argon$0.130Fits in one request
GPT-5.2$0.130Fits in one request
GPT-5.2 costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Argon$0.500Fits in one request
GPT-5.2$0.490Fits in one request
GPT-5.2 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-5.2 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | December 10, 2025 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $2.00 | $1.75 |
| Output $/Mtok | $10.00 | $14.00 |
| Coding index | 81.0 | 55.9 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | $1.91 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than GPT-5.2 for coding?
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 55.9 for GPT-5.2. Pick GPT-5.2 for work measured by Long context reasoning (AA-LCR), where it leads.
Which is cheaper, Gemini 4 Argon or GPT-5.2?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-5.2 costs $1.75 and $14.00. Cost per solved task is known for GPT-5.2 only.
Which has the bigger context window, Gemini 4 Argon or GPT-5.2?
Gemini 4 Argon, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 4 Argon vs GPT-5.2 comparison based on?
56 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-5.2's on 3. Where only one model has a result, the page says so instead of naming a winner.