Gemini 4 Argon vs Step 3.7 Flash
Updated October 21, 2026. 11 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 11 shared
Decision reading
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding.
Step 3.7 Flash has the edge where output tokens cost 8.7x less.
Model AGemini 4 ArgonGoogle81.0/1005 independent benchmarksNo cost per solved taskModel BStep 3.7 FlashStepFunNot benchmarkedNo coding benchmarkNo cost per solved task
- Shared results
- 11
- Gemini 4 Argon only
- 81
- Step 3.7 Flash only
- 7
- Like-for-like categories
- 5 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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 19.5.
Same board, both measured
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1196.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Step 3.7 Flash
Gemini 4 Argon $0.0070, Step 3.7 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, Step 3.7 Flash not benchmarked.
- Widest category
- Reasoning, 35.7 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: Gemini 4 Argon 2100.1 against Step 3.7 Flash 694.1, 46.9 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against Step 3.7 Flash $1.15 per million output tokens, 8.7x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, Step 3.7 Flash 262K.
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 | Step 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 1 | 0 | ||
| Web design | 6 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 11 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1678 | Not measured | Only Gemini 4 Argon measured |
| AA Coding Index | Not measured | 39.6 | Only Step 3.7 Flash 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% | 43.9% | Gemini 4 Argon |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 35.6% | Only Step 3.7 Flash measured |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 694.1 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: software and IT | 1556 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: React | 1692 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: HTML | 1643 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 19.5 | 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 index19 boards, none shared
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1147 | 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 | 98.5% | Only Step 3.7 Flash 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 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | Leader |
|---|---|---|---|
| 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 | 80.9% | Only Step 3.7 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 21.4% | Gemini 4 Argon |
| 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 |
| LMArena Text: hard prompts | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: expert | 1550 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts in English | 1548 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 8 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | 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 |
| LMArena Text: math | 1536 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: mathematical work | 1557 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | 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% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1548 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: medicine and healthcare | 1555 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: legal and government | 1548 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: business and finance | 1525 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1196 | Gemini 4 Argon |
| Design Arena: UI components | 1331 | 1179 | Gemini 4 Argon |
| Design Arena: game dev | 1376 | 1158 | Gemini 4 Argon |
| Design Arena: data viz | 1337 | 1172 | Gemini 4 Argon |
| Design Arena: 3D | 1389 | 1129 | Gemini 4 Argon |
| Design Arena: all code categories | 1328 | 1182 | Gemini 4 Argon |
| Design Arena: SVG | Not measured | 1085 | Only Step 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1152 | Only Step 3.7 Flash measured |
| LiveBench design | 73.7% | Not measured | Only Gemini 4 Argon measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Step 3.7 Flash | 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 |
| IFBench | Not measured | 67.3% | Only Step 3.7 Flash measured |
| Long context reasoning (AA-LCR) | 79.7% | 73.7% | Gemini 4 Argon |
| DTBench | 97.6% | Not measured | Only Gemini 4 Argon measured |
| LMCA | 63.7% | Not measured | Only Gemini 4 Argon measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1532 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: instruction following | 1534 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: creative writing | 1527 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: English | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: non-English | 1522 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Chinese | 1611 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | 1503 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1534 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: multi-turn | 1556 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: longer queries | 1547 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: writing and language | 1529 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: entertainment and media | 1527 | 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 | Step 3.7 Flash | 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
Step 3.7 Flash$0.0008Fits in one request
Step 3.7 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 4 Argon$0.130Fits in one request
Step 3.7 Flash$0.013Fits in one request
Step 3.7 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Argon$0.500Fits in one request
Step 3.7 Flash$0.051Fits in one request
Step 3.7 Flash 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 | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | StepFun | |
| Weights | No public weights listed | Open weights |
| Released | October 13, 2026 | May 28, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.20 |
| Output $/Mtok | $10.00 | $1.15 |
| Coding index | 81.0 | 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 Step 3.7 Flash for coding?
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding. Step 3.7 Flash has the edge where output tokens cost 8.7x less.
Which is cheaper, Gemini 4 Argon or Step 3.7 Flash?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 4 Argon or Step 3.7 Flash?
Gemini 4 Argon, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 4 Argon vs Step 3.7 Flash comparison based on?
11 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.