Gemini 4 Argon vs GPT-3.5 Turbo
Gemini 4 Argon leads GPT-3.5 Turbo on the Artificial Analysis Intelligence Index, 52.6 to 5.5, and GPT-3.5 Turbo costs 6.7x less per output token ($1.50 vs $10.00 per million). Updated October 23, 2026; 5 benchmarks have a result for both.
vs boards won of 5 shared
Gemini 4 Argon or GPT-3.5 Turbo: which to pick
Only Gemini 4 Argon has a coding score, 80.9 on the Vibe Coding Index; GPT-3.5 Turbo has none, so the two cannot be ranked on coding.
Pick GPT-3.5 Turbo for output tokens 6.7x cheaper ($1.50 vs $10.00 per million).
Model AGemini 4 ArgonGoogle80.9/1005 independent benchmarksNo cost per solved taskModel BGPT-3.5 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
- Shared results
- 5
- Gemini 4 Argon only
- 97
- GPT-3.5 Turbo only
- 8
- Like-for-like categories
- 4 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 5.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-3.5 Turbo has a GPQA Diamond result, 30.6%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 4 Argon has a Design Arena: websites result, 1316.
Directional only
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 16K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-3.5 Turbo
Gemini 4 Argon $0.0070, GPT-3.5 Turbo $0.0013 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 80.9 from 5 benchmarks, GPT-3.5 Turbo not benchmarked.
- Widest category
- General, 51.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMCA: Gemini 4 Argon 63.7% against GPT-3.5 Turbo 9.7%, 54.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against GPT-3.5 Turbo $1.50 per million output tokens, 6.7x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, GPT-3.5 Turbo 16K.
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-3.5 Turbo | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 5 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1673 | Not measured | Only Gemini 4 Argon measured |
| AA Coding Index | Not measured | 10.7 | Only GPT-3.5 Turbo 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 |
| SciCode | 61.8% | Not measured | Only Gemini 4 Argon measured |
| 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 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: coding | 1539 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: software and IT | 1544 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: React | 1688 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: HTML | 1640 | Not measured | Only Gemini 4 Argon measured |
| SciCode | 12.3% | 0.0% | Gemini 4 Argon |
| SWE-Bench Pro V2 | 99.2% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 5.5 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | Not measured | Only Gemini 4 Argon measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1172 | 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 |
| APEX-Agents | 82.4% | 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 24 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 30.6% | Only GPT-3.5 Turbo measured |
| LiveBench reasoning | 95.1% | Not measured | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 29.7% | Only GPT-3.5 Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | Not measured | Only Gemini 4 Argon measured |
| GPQA Diamond (Epoch AI run) | 96.4% | Not measured | Only Gemini 4 Argon measured |
| 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% | Not measured | Only Gemini 4 Argon measured |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| BIG-Bench Hard | Not measured | 61.6% | Only GPT-3.5 Turbo measured |
| LMArena Text: hard prompts | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: expert | 1545 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts in English | 1534 | Not measured | Only Gemini 4 Argon measured |
| Humanity's Last Exam (Scale run) | 53.2% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 7 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | 78.0% | Not measured | Only Gemini 4 Argon measured |
| ProofBench | 99.0% | Not measured | Only Gemini 4 Argon measured |
| GSM8K | Not measured | 57.8% | Only GPT-3.5 Turbo 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 | 69.3% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | 64.4% | Gemini 4 Argon |
| MedQA (Vals AI) | Not measured | 58.5% | Only GPT-3.5 Turbo measured |
| MedCode (Vals AI) | 58.8% | Not measured | Only Gemini 4 Argon measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 46.2% | Only GPT-3.5 Turbo measured |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| MMLU | Not measured | 68.5% | Only GPT-3.5 Turbo measured |
| LMArena Text: science | 1542 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: medicine and healthcare | 1537 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: legal and government | 1527 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: business and finance | 1512 | 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 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1316 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: UI components | 1333 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: game dev | 1376 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: data viz | 1331 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: 3D | 1386 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: all code categories | 1329 | Not measured | Only Gemini 4 Argon measured |
| 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 index20
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | 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% | 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% | Not measured | Only Gemini 4 Argon measured |
| DTBench | 97.6% | 48.5% | Gemini 4 Argon |
| LMCA | 63.7% | 9.7% | Gemini 4 Argon |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1526 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: instruction following | 1528 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: creative writing | 1523 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: English | 1526 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: non-English | 1519 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Chinese | 1600 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: French | 1543 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | 1508 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1537 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Polish | 1530 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: multi-turn | 1547 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: longer queries | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: writing and language | 1524 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: entertainment and media | 1517 | Not measured | Only Gemini 4 Argon measured |
| MultiChallenge | 78.7% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | GPT-3.5 Turbo | 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-3.5 Turbo$0.0013Fits in one request
GPT-3.5 Turbo costs less
Repository review
50K input + 3K output tokens
Gemini 4 Argon$0.130Fits in one request
GPT-3.5 Turbo$0.029Exceeds the context window
GPT-3.5 Turbo costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Argon$0.500Fits in one request
GPT-3.5 Turbo$0.115Exceeds the context window
GPT-3.5 Turbo 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-3.5 Turbo |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | May 28, 2023 |
| Context window | 1.05M | 16K |
| Input $/Mtok | $2.00 | $0.50 |
| Output $/Mtok | $10.00 | $1.50 |
| Coding index | 80.9 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than GPT-3.5 Turbo for coding?
Only Gemini 4 Argon has a coding score, 80.9 on the Vibe Coding Index; GPT-3.5 Turbo has none, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo for output tokens 6.7x cheaper ($1.50 vs $10.00 per million).
Which is cheaper, Gemini 4 Argon or GPT-3.5 Turbo?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-3.5 Turbo costs $0.50 and $1.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 4 Argon or GPT-3.5 Turbo?
Gemini 4 Argon, with 1.05M tokens against 16K.
How many benchmarks is the Gemini 4 Argon vs GPT-3.5 Turbo comparison based on?
5 benchmarks have a result for both models as of October 23, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and GPT-3.5 Turbo's on 0. Where only one model has a result, the page says so instead of naming a winner.