Gemini 4 Argon vs GPT-5 Nano
Gemini 4 Argon leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 52.6 to 13.0, and GPT-5 Nano costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.
Gemini 4 Argon or GPT-5 Nano: which to pick
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding.
Pick GPT-5 Nano for output tokens 25.0x cheaper ($0.40 vs $10.00 per million).
- Shared results
- 49
- Gemini 4 Argon only
- 45
- GPT-5 Nano only
- 38
- Like-for-like categories
- 7 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
Only Gemini 4 Argon has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 13.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5 Nano has a GPQA Diamond result, 63.4%.
Directional only
Math
AIME
No call
Only GPT-5 Nano has a AIME result, 81.2%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 Nano has a MMLU Pro result, 76.1%.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1101.
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
GPT-5 Nano
Gemini 4 Argon $0.0070, GPT-5 Nano $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 Nano has the number, $0.109.
Directional only
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, GPT-5 Nano not benchmarked.
- Widest category
- Math, 53.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- ARC-AGI-2: Gemini 4 Argon 91.3% against GPT-5 Nano 2.6%, 88.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against GPT-5 Nano $0.40 per million output tokens, 25.0x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, GPT-5 Nano 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 Nano | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 7 | 0 | ||
| Web design | 6 | 0 | ||
| General | 17 | 0 | ||
| All shared boards | 49 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 34.8% | Only GPT-5 Nano measured |
| LiveBench coding | 89.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1678 | Not measured | Only Gemini 4 Argon measured |
| LiveCodeBench (Vals AI) | Not measured | 70.2% | Only GPT-5 Nano measured |
| Terminal-Bench 4 (Vals AI) | 57.6% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench (Vals AI) | 91.9% | Not measured | Only Gemini 4 Argon measured |
| 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 | 78.9% | Only GPT-5 Nano measured |
| SciCode | 61.8% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 17.4% | Only GPT-5 Nano measured |
| Terminal-Bench | Not measured | 21.8% | Only GPT-5 Nano measured |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| WeirdML | Not measured | 38.1% | Only GPT-5 Nano measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: coding | 1546 | 1351 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1345 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: HTML | 1643 | Not measured | Only Gemini 4 Argon measured |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 13.0 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 139.2 | Gemini 4 Argon |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| 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 | 36.5% | Only GPT-5 Nano measured |
| APEX-Agents | 82.4% | Not measured | Only Gemini 4 Argon measured |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 51.4% | Only GPT-5 Nano measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 63.4% | Only GPT-5 Nano 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 | 70.9% | Only GPT-5 Nano measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 67.6% | Only GPT-5 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 9.5% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 69.4% | Gemini 4 Argon |
| ARC-AGI | 98.5% | 20.7% | Gemini 4 Argon |
| ARC-AGI-2 | 91.3% | 2.6% | Gemini 4 Argon |
| Chess puzzles | 59.0% | 22.0% | Gemini 4 Argon |
| Mystery game puzzles | 64.0% | 9.0% | Gemini 4 Argon |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| VPCT | Not measured | 37.2% | Only GPT-5 Nano measured |
| LMArena Text: hard prompts | 1546 | 1328 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1321 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1338 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1141 | Only GPT-5 Nano measured |
| LMArena Vision: homework | Not measured | 1157 | Only GPT-5 Nano measured |
| Kagi LLM Benchmark | Not measured | 62.2% | Only GPT-5 Nano measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| AIME | Not measured | 81.2% | Only GPT-5 Nano measured |
| MATH 500 (Vals AI) | Not measured | 93.8% | Only GPT-5 Nano measured |
| MGSM (Vals AI) | Not measured | 89.3% | Only GPT-5 Nano measured |
| AA Math Index | Not measured | 83.7 | Only GPT-5 Nano measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 83.7% | Only GPT-5 Nano measured |
| OTIS Mock AIME | 100.0% | 81.1% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 86.0% | 20.0% | Gemini 4 Argon |
| FrontierMath, tier 4 | 78.0% | 2.4% | Gemini 4 Argon |
| ProofBench | 99.0% | 12.0% | Gemini 4 Argon |
| MATH level 5 | Not measured | 95.2% | Only GPT-5 Nano measured |
| LMArena Text: math | 1536 | 1317 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1326 | Gemini 4 Argon |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 76.1% | Only GPT-5 Nano measured |
| LegalBench (Vals AI) | 88.3% | 50.1% | Gemini 4 Argon |
| CaseLaw (Vals AI) | Not measured | 52.6% | Only GPT-5 Nano measured |
| TaxEval (Vals AI) | Not measured | 67.4% | Only GPT-5 Nano measured |
| MortgageTax (Vals AI) | Not measured | 53.6% | Only GPT-5 Nano measured |
| MedQA (Vals AI) | Not measured | 93.3% | Only GPT-5 Nano measured |
| MedCode (Vals AI) | 58.8% | 30.4% | Gemini 4 Argon |
| MMLU Pro (Artificial Analysis run) | Not measured | 78.0% | Only GPT-5 Nano measured |
| SimpleQA Verified | 76.0% | 11.7% | Gemini 4 Argon |
| LMArena Text: science | 1548 | 1318 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1335 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1298 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1311 | Gemini 4 Argon |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | GPT-5 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1101 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1064 | Gemini 4 Argon |
| Design Arena: game dev | 1377 | 1044 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | 1056 | Gemini 4 Argon |
| Design Arena: 3D | 1388 | 965 | Gemini 4 Argon |
| Design Arena: all code categories | 1329 | 1084 | Gemini 4 Argon |
| LiveBench design | 73.7% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
| Benchmark | Gemini 4 Argon | GPT-5 Nano | 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% | 30.4% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 72.9% | Gemini 4 Argon |
| IFBench | Not measured | 67.6% | Only GPT-5 Nano measured |
| Long context reasoning (AA-LCR) | 79.7% | 45.0% | Gemini 4 Argon |
| DTBench | 97.6% | 62.7% | Gemini 4 Argon |
| LMCA | 63.7% | 7.9% | Gemini 4 Argon |
| Fiction.LiveBench | Not measured | 44.4% | Only GPT-5 Nano measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1532 | 1320 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1306 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1249 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1159 | Only GPT-5 Nano measured |
| LMArena Text: English | 1538 | 1321 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1313 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1356 | Gemini 4 Argon |
| LMArena Text: German | Not measured | 1327 | Only GPT-5 Nano measured |
| LMArena Text: Japanese | Not measured | 1227 | Only GPT-5 Nano measured |
| LMArena Text: Korean | Not measured | 1269 | Only GPT-5 Nano measured |
| LMArena Text: Spanish | 1503 | 1360 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1296 | Gemini 4 Argon |
| LMArena Text: Polish | Not measured | 1314 | Only GPT-5 Nano measured |
| LMArena Text: multi-turn | 1556 | 1311 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1312 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1283 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1268 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1170 | Only GPT-5 Nano measured |
| LMArena Vision: Chinese | Not measured | 1176 | Only GPT-5 Nano measured |
| LMArena Vision: reading text | Not measured | 1152 | Only GPT-5 Nano measured |
| LMArena Vision: humor | Not measured | 1110 | Only GPT-5 Nano measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-5 Nano | 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-5 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5 Nano 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 Nano |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | August 7, 2025 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $2.00 | $0.05 |
| Output $/Mtok | $10.00 | $0.40 |
| Coding index | 81.0 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | Not computable | $0.109 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than GPT-5 Nano for coding?
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 25.0x cheaper ($0.40 vs $10.00 per million).
Which is cheaper, Gemini 4 Argon or GPT-5 Nano?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Cost per solved task is known for GPT-5 Nano only.
Which has the bigger context window, Gemini 4 Argon or GPT-5 Nano?
Gemini 4 Argon, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 4 Argon vs GPT-5 Nano comparison based on?
49 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 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.