DeepSeek V3.1 Terminus vs Gemini 4 Argon
Gemini 4 Argon leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 52.6 to 14.8, and DeepSeek V3.1 Terminus costs 9.9x less per output token ($1.0142 vs $10.00 per million). Updated October 22, 2026; 32 benchmarks have a result for both.
DeepSeek V3.1 Terminus or Gemini 4 Argon: which to pick
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding.
Pick DeepSeek V3.1 Terminus for output tokens 9.9x cheaper ($1.0142 vs $10.00 per million).
- Shared results
- 32
- DeepSeek V3.1 Terminus only
- 13
- Gemini 4 Argon only
- 62
- 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 14.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V3.1 Terminus has a AA Agentic Index result, 6.8.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1187.
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 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.1 Terminus
DeepSeek V3.1 Terminus $0.0008, Gemini 4 Argon $0.0070 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3.1 Terminus not benchmarked, Gemini 4 Argon 81.0 from 5 benchmarks.
- Widest category
- Intelligence, 37.8 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: DeepSeek V3.1 Terminus 745.2 against Gemini 4 Argon 2100.1, 45.2 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.1 Terminus $1.0142 against Gemini 4 Argon $10.00 per million output tokens, 9.9x apart.
- Context window
- DeepSeek V3.1 Terminus takes 164K tokens, Gemini 4 Argon 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 | DeepSeek V3.1 Terminus | Bars | Gemini 4 Argon | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 0 | 13 | ||
| All shared boards | 0 | 32 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 89.7% | Only Gemini 4 Argon measured |
| LMArena WebDev | Not measured | 1678 | Only Gemini 4 Argon measured |
| AA Coding Index | 43.5 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 57.6% | Only Gemini 4 Argon measured |
| Vibe Code Bench (Vals AI) | Not measured | 91.9% | Only Gemini 4 Argon measured |
| Code migration (Vals AI) | Not measured | 68.2% | Only Gemini 4 Argon measured |
| ProgramBench (Vals AI) | Not measured | 2.5% | Only Gemini 4 Argon measured |
| IOI (Vals AI) | Not measured | 100.0% | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 57.7% | Only Gemini 4 Argon measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 56.0% | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 21.2% | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | Not measured | 77.9% | Only Gemini 4 Argon measured |
| LiveCodeBench (Artificial Analysis run) | 79.8% | Not measured | Only DeepSeek V3.1 Terminus measured |
| SciCode | 38.0% | 61.8% | Gemini 4 Argon |
| Terminal-Bench Hard (Artificial Analysis run) | 31.8% | Not measured | Only DeepSeek V3.1 Terminus measured |
| FrontierCode | Not measured | 47.5% | Only Gemini 4 Argon measured |
| FrontierSWE | Not measured | 55.0% | Only Gemini 4 Argon measured |
| MirrorCode | Not measured | 58.9% | Only Gemini 4 Argon measured |
| ALE-Bench | 745.2 | 2100.1 | Gemini 4 Argon |
| LMArena Text: coding | 1425 | 1546 | Gemini 4 Argon |
| LMArena Text: software and IT | 1426 | 1556 | Gemini 4 Argon |
| LMArena WebDev: React | Not measured | 1692 | Only Gemini 4 Argon measured |
| LMArena WebDev: HTML | Not measured | 1643 | Only Gemini 4 Argon measured |
| SciCode | Not measured | 12.3% | Only Gemini 4 Argon measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.8 | 52.6 | Gemini 4 Argon |
| Epoch Capabilities Index | Not measured | 166.4 | Only Gemini 4 Argon measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Agentic Index | 6.8 | Not measured | Only DeepSeek V3.1 Terminus measured |
| Design Arena: spreadsheets | Not measured | 1157 | Only Gemini 4 Argon measured |
| LiveBench research | Not measured | 83.1% | Only Gemini 4 Argon measured |
| LiveBench browser | Not measured | 92.0% | Only Gemini 4 Argon measured |
| LiveBench long agentic | Not measured | 69.9% | Only Gemini 4 Argon measured |
| SREBench (Vals AI) | Not measured | 44.3% | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | Not measured | 65.4% | Only Gemini 4 Argon measured |
| Tax Agent Bench (Vals AI) | Not measured | 44.6% | Only Gemini 4 Argon measured |
| Legal Research Bench (Vals AI) | Not measured | 54.8% | Only Gemini 4 Argon measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 27.1% | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 75.2% | Only Gemini 4 Argon measured |
| BioMysteryBench (Vals AI) | Not measured | 76.3% | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 44.3% | Only Gemini 4 Argon measured |
| Vals Science Index | Not measured | 55.4% | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | Not measured | 52.5% | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | Not measured | 4.8% | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | Not measured | 0.8% | Only Gemini 4 Argon measured |
| τ²-Bench Telecom | 37.1% | Not measured | Only DeepSeek V3.1 Terminus measured |
| APEX-Agents | Not measured | 82.4% | Only Gemini 4 Argon measured |
| Vending-Bench 2 | Not measured | $13,718 | Only Gemini 4 Argon measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 95.1% | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | Not measured | 45.5% | Only Gemini 4 Argon measured |
| GPQA Diamond (Artificial Analysis run) | 79.2% | Not measured | Only DeepSeek V3.1 Terminus measured |
| Humanity's Last Exam (Artificial Analysis run) | 16.4% | 57.1% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | Not measured | 96.4% | Only Gemini 4 Argon measured |
| ARC-AGI | Not measured | 98.5% | Only Gemini 4 Argon measured |
| ARC-AGI-2 | Not measured | 91.3% | Only Gemini 4 Argon measured |
| Chess puzzles | Not measured | 59.0% | Only Gemini 4 Argon measured |
| Mystery game puzzles | Not measured | 64.0% | Only Gemini 4 Argon measured |
| EBR-bench | Not measured | 64.8% | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1426 | 1546 | Gemini 4 Argon |
| LMArena Text: expert | Not measured | 1550 | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts in English | 1432 | 1548 | Gemini 4 Argon |
| Kagi LLM Benchmark | 57.4% | Not measured | Only DeepSeek V3.1 Terminus measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Math Index | 89.7 | Not measured | Only DeepSeek V3.1 Terminus measured |
| AIME 2025 (Artificial Analysis run) | 89.7% | Not measured | Only DeepSeek V3.1 Terminus measured |
| OTIS Mock AIME | Not measured | 100.0% | Only Gemini 4 Argon measured |
| FrontierMath, tiers 1 to 3 | Not measured | 86.0% | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | Not measured | 78.0% | Only Gemini 4 Argon measured |
| ProofBench | Not measured | 99.0% | Only Gemini 4 Argon measured |
| LMArena Text: math | 1402 | 1536 | Gemini 4 Argon |
| LMArena Text: mathematical work | Not measured | 1557 | Only Gemini 4 Argon measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 88.3% | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | Not measured | 58.8% | Only Gemini 4 Argon measured |
| MMLU Pro (Artificial Analysis run) | 85.1% | Not measured | Only DeepSeek V3.1 Terminus measured |
| SimpleQA Verified | Not measured | 76.0% | Only Gemini 4 Argon measured |
| LMArena Text: science | 1451 | 1548 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1468 | 1555 | Gemini 4 Argon |
| LMArena Text: legal and government | 1457 | 1548 | Gemini 4 Argon |
| LMArena Text: business and finance | 1414 | 1525 | Gemini 4 Argon |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| Design Arena: websites | 1187 | 1315 | Gemini 4 Argon |
| Design Arena: UI components | 1182 | 1333 | Gemini 4 Argon |
| Design Arena: game dev | 1131 | 1377 | Gemini 4 Argon |
| Design Arena: data viz | 1168 | 1332 | Gemini 4 Argon |
| Design Arena: 3D | 1141 | 1388 | Gemini 4 Argon |
| Design Arena: all code categories | 1175 | 1329 | Gemini 4 Argon |
| Design Arena: SVG | 1065 | Not measured | Only DeepSeek V3.1 Terminus measured |
| LiveBench design | Not measured | 73.7% | Only Gemini 4 Argon measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index013
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | Leader |
|---|---|---|---|
| Vals Index | Not measured | 69.2% | Only Gemini 4 Argon measured |
| LiveBench data analysis | Not measured | 85.2% | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | Not measured | 69.8% | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | Not measured | 53.6% | Only Gemini 4 Argon measured |
| MedScribe (Vals AI) | Not measured | 87.4% | Only Gemini 4 Argon measured |
| IFBench | 57.0% | Not measured | Only DeepSeek V3.1 Terminus measured |
| Long context reasoning (AA-LCR) | 69.3% | 79.7% | Gemini 4 Argon |
| DTBench | 81.3% | 97.6% | Gemini 4 Argon |
| LMCA | 28.6% | 63.7% | Gemini 4 Argon |
| Furniture assembly | Not measured | 72.5% | Only Gemini 4 Argon measured |
| LMArena Text | 1419 | 1532 | Gemini 4 Argon |
| LMArena Text: instruction following | 1404 | 1534 | Gemini 4 Argon |
| LMArena Text: creative writing | 1403 | 1527 | Gemini 4 Argon |
| LMArena Text: English | 1429 | 1538 | Gemini 4 Argon |
| LMArena Text: non-English | 1408 | 1522 | Gemini 4 Argon |
| LMArena Text: Chinese | Not measured | 1611 | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | Not measured | 1503 | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1435 | 1534 | Gemini 4 Argon |
| LMArena Text: Polish | 1427 | Not measured | Only DeepSeek V3.1 Terminus measured |
| LMArena Text: multi-turn | 1411 | 1556 | Gemini 4 Argon |
| LMArena Text: longer queries | 1422 | 1547 | Gemini 4 Argon |
| LMArena Text: writing and language | 1409 | 1529 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1391 | 1527 | Gemini 4 Argon |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.1 Terminus | Gemini 4 Argon | 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
DeepSeek V3.1 Terminus costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.1 Terminus costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.1 Terminus 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 | DeepSeek V3.1 Terminus | Google Gemini 4 Argon |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | September 22, 2025 | October 13, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.3063 | $2.00 |
| Output $/Mtok | $1.0142 | $10.00 |
| Coding index | Not benchmarked | 81.0 |
| Independent measurements behind it | 0 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.1 Terminus better than Gemini 4 Argon for coding?
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 9.9x cheaper ($1.0142 vs $10.00 per million).
Which is cheaper, DeepSeek V3.1 Terminus or Gemini 4 Argon?
DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Gemini 4 Argon costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3.1 Terminus or Gemini 4 Argon?
Gemini 4 Argon, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3.1 Terminus vs Gemini 4 Argon comparison based on?
32 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and Gemini 4 Argon's on 5. Where only one model has a result, the page says so instead of naming a winner.