DeepSeek V4 Pro 0424 vs Gemini 4 Argon
Full profiles: DeepSeek V4 Pro 0424 (DeepSeek) and Gemini 4 Argon (Google): every benchmark, price and rank.
Updated · Data from 8 sources
As of 22 Oct 2026, Gemini 4 Argon (high) leads on quality (71.0 vs 59.7 on the BenchLeader Index), but DeepSeek V4 Pro 0424 (max) costs 7.3× less, so it is the better buy unless you need the extra quality. Gemini 4 Argon (high)'s current price runs until 30 Nov 2026; from 1 Dec 2026 DeepSeek V4 Pro 0424 (max) costs 15× less ($0.547 vs $8.00 per 1M blended).
DeepSeek V4 Pro 0424 benchmarks max DeepSeek
Gemini 4 Argon benchmarks high GoogleOpen in the comparison toolWhich to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Agents & tool use | Gemini 4 Argon | 72 vs 64 category score; GDPval-AA v2.1 56.2% vs 32.8% | High |
| Reasoning | Gemini 4 Argon | 75 vs 62 category score; CritPt 27.1% vs 12.9% | High |
| Knowledge | Gemini 4 Argon | 77 vs 57 category score; AA-Omniscience 42.4 vs -10.7 | High |
| Long documents | Gemini 4 Argon | 65 vs 62 category score; AA-LCR 79.7% vs 74.7% | Medium |
| Chat quality (human preference) | – | Only Gemini 4 Argon has an Arena rating (73 category score) | Not comparable |
| Lowest cost | DeepSeek V4 Pro 0424 | $0.548 vs $4.00 per 1M blended; agentic coding session $0.030 vs $0.160; from 1 Dec 2026: $0.547 vs $8.00 | – |
| Fastest first answer | Either | 49.0 s (DeepSeek V4 Pro 0424 (max)) vs 47.1 s (Gemini 4 Argon (high)) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Gemini 4 Argon (high) leads on quality: 71.0 vs 59.7.
- DeepSeek V4 Pro 0424 (max) is stronger in instruction following.
- Gemini 4 Argon (high) is stronger in agents & tools, composite, knowledge, long context, reasoning, coding, human preference, maths.
- DeepSeek V4 Pro 0424 (max) is 7.3× cheaper ($0.548 vs $4.00 per 1M blended) until 30 Nov 2026, then $0.547 vs $8.00 from 1 Dec 2026.
At a glance
| Spec | DeepSeek V4 Pro 0424 | Gemini 4 Argon |
|---|---|---|
| Developer | DeepSeek | |
| Released | 24 Apr 2026 | 30 Sept 2026 |
| Generally available | 24 Apr 2026 | 13 Oct 2026 |
| Context window (tokens) | 1,000,000 | 1,048,576 |
| Max output (tokens) | – | 65,536 (up to 1,048,576 with long decode) |
| Input types | – | text, image, video, audio, PDF |
| Reasoning effort settings | – | low, medium, high |
| Compared at | DeepSeek V4 Pro 0424 (max) | Gemini 4 Argon (high) |
| Open weights | Yes | No |
| Price in / out / cached input per 1M | $0.440 / $0.870 / – | $2.00 / $10.00 / $0.100 |
| Announced price change | None announced | $4.00 / $20.00 / $0.200 from 1 Dec 2026 |
| API model ID | – | gemini-4-argon |
| Where to use it | – | Gemini API (AI Studio), Gemini Enterprise Agent Platform, Gemini app |
Limits, availability and announced prices from the vendors' own pages: ai.google.dev, ai.google.dev pricing (checked 20 Oct 2026). Everything else is from the day's data.
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | DeepSeek V4 Pro 0424 (max) | Gemini 4 Argon (high) | Leader |
|---|---|---|---|
| Reasoning | 62.2 | 75.0 | Gemini 4 Argon |
| Coding | – | 72.1 | not comparable |
| Agents & tools | 63.8 | 71.8 | Gemini 4 Argon |
| Maths | – | 70.4 | not comparable |
| Knowledge | 56.7 | 76.6 | Gemini 4 Argon |
| Instruction following | 74.5 | – | not comparable |
| Human preference | – | 72.5 | not comparable |
| Long context | 62.3 | 64.9 | Gemini 4 Argon |
| Composite | 63.7 | 88.6 | Gemini 4 Argon |
Where sources disagree
Across the 13 benchmarks both have, DeepSeek V4 Pro 0424 leads 0, Gemini 4 Argon leads 13. Every overall index that rates both puts Gemini 4 Argon ahead.
| Overall index | DeepSeek V4 Pro 0424 (max) | Gemini 4 Argon (high) | Leader |
|---|---|---|---|
| BenchLeader Index | 59.7 | 71.0 | Gemini 4 Argon |
| AA Intelligence Index v4.3.2 | 30.4 | 52.6 | Gemini 4 Argon |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | DeepSeek V4 Pro 0424 (max) | Gemini 4 Argon (high) |
|---|---|---|
| Blended price per 1M tokens, until 30 Nov 2026 | $0.548 | $4.00 |
| Input / output per 1M | $0.440 / $0.870 | $2.00 / $10.00 |
| Blended price per 1M from 1 Dec 2026 | $0.547 | $8.00 |
| Input / output per 1M from 1 Dec 2026 | $0.440 / $0.870 | $4.00 / $20.00 |
| Cached input per 1M | – | $0.100 |
| Price per task: chat reply | $0.0004 | $0.0038 |
| Price per task: summarize a 30-page report | $0.0058 | $0.030 |
| Price per task: code edit | $0.0039 | $0.027 |
| Price per task: agentic coding session | $0.030 | $0.160 |
| Price per task: structured extraction | $0.0011 | $0.0060 |
| Cost to run a full benchmark suite | $0.122 | $1.99 |
| Output speed | 92 tok/s | 81 tok/s |
| Time to first answer | 49.0 s | 47.1 s |
| Time to a complete answer | 54.4 s | 53.2 s |
Per token is not per task: on Artificial Analysis' full suite DeepSeek V4 Pro 0424 (max) cost $0.122 and Gemini 4 Argon (high) $1.99, because Gemini 4 Argon (high) used about 2.2× as many tokens for the same work, which a per-token price hides.
Each model is compared at its best-ranked reasoning-effort setting. DeepSeek V4 Pro 0424 (max) scores 59.7 and takes 49 s to its first answer token; DeepSeek V4 Pro 0424 (high) scores 57.9 in 25 s, DeepSeek V4 Pro 0424 (no reasoning) scores 50.8 in 2 s. Gemini 4 Argon (high) scores 71.0 and takes 47 s to its first answer token; Gemini 4 Argon scores 64.7 in 4 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
102 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | DeepSeek V4 Pro 0424 (max) | Gemini 4 Argon (high) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 59.7 | 71.0 |
| Agents & tools score | BenchLeader | 63.8 | 71.8 |
| Composite score | BenchLeader | 63.7 | 88.6 |
| Instruction following score | BenchLeader | 74.5 | – |
| Knowledge score | BenchLeader | 56.7 | 76.6 |
| Long context score | BenchLeader | 62.3 | 64.9 |
| Reasoning score | BenchLeader | 62.2 | 75.0 |
| Coding score | BenchLeader | – | 72.1 |
| Human preference score | BenchLeader | – | 72.5 |
| Maths score | BenchLeader | – | 70.4 |
| Blended price $/M | BenchLeader | $0.548 | $4.00 |
| Output speed | BenchLeader | 92 tok/s | 81 tok/s |
| Time to first answer | BenchLeader | 49.0 s | 47.1 s |
| Context window | BenchLeader | 1,000,000 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 96.4% |
| Arena Hard Prompts | Arena (LMArena) | – | 1549 |
| LiveBench 2.0 Reasoning | LiveBench | – | 95.1%† |
| GPQA Diamond (AA) | Artificial Analysis | 88.8% | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 37.5% | 57.1% |
| ARC-AGI-1 | ARC Prize | – | 98.5% |
| ARC-AGI-2 | ARC Prize | – | 91.3% |
| ARC-AGI-3 | ARC Prize | – | 97.3% |
| CritPt | Artificial Analysis | 12.9% | 27.1% |
| MysteryMechanism | Vals AI | – | 45.5% |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 59.0% |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | – | 64.0% |
| LMCA | Epoch AI Benchmarking Hub | – | 63.7% |
| DTBench | Epoch AI Benchmarking Hub | – | 97.3% |
| Coding | |||
| SciCode | SciCode | – | 61.8% |
| FrontierCode | Cognition | – | 47.5%† |
| Arena Coding | Arena (LMArena) | – | 1559 |
| Arena WebDev | Arena (LMArena) | – | 1678 |
| LiveBench 2.0 Coding | LiveBench | – | 89.7%† |
| SciCode (AA) | Artificial Analysis | 50.8% | 61.8% |
| IOI | Vals AI | – | 100.0% |
| Code Migration | Vals AI | – | 68.2% |
| ProgramBench | Vals AI | – | 2.5% |
| Vibe Code Bench 1-100 | Vals AI | – | 21.2% |
| Vibe Code Bench v1.1 | Vals AI | – | 91.9% |
Show all 102 benchmarks
| Metric | Publisher | DeepSeek V4 Pro 0424 (max) | Gemini 4 Argon (high) |
|---|---|---|---|
| Coding | |||
| MirrorCode | Epoch AI Benchmarking Hub | – | 58.9% |
| CursorBench | Cursor | – | 52.9% |
| ALE-Bench | Epoch AI Benchmarking Hub | – | 2100.1 |
| FrontierSWE | Epoch AI Benchmarking Hub | – | 55.0% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 14.7% | 57.1% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | 64.0% | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | – | 43.5% |
| Agents & tools | |||
| APEX-Agents | Mercor | – | 82.4%† |
| Arena Agent | Arena (LMArena) | – | 12 |
| LiveBench Long Agentic | LiveBench | – | 69.9%† |
| LiveBench Browser | LiveBench | – | 92.0%† |
| Terminal-Bench Hard | Artificial Analysis | 46.2% | – |
| τ²-Bench Telecom (AA) | Artificial Analysis | 96.2% | – |
| HiL-Bench | Scale AI SEAL | – | 62.0%† |
| GDPval-AA v2.1 | Artificial Analysis | 32.8% | 56.2% |
| τ³-Banking (AA) | Artificial Analysis | 30.1% | – |
| ITBench SRE (AA) | Artificial Analysis | 38.3% | – |
| Analyst Agent (AA) | Artificial Analysis | 18.8% | 48.8% |
| APEX-Agents (AA) | Artificial Analysis | 24.3% | – |
| CUA-bench | Vals AI | – | 4.8% |
| CyberBench | Vals AI | – | 77.9% |
| Finance Agent v2 | Vals AI | – | 65.4% |
| Harvey's Legal Agent Benchmark | Vals AI | – | 27.1% |
| Legal Research Bench | Vals AI | – | 54.8% |
| SREBench | Vals AI | – | 44.3% |
| Tax Agent Bench | Vals AI | – | 44.6% |
| Terminal-Bench 4.0 (Vals) | Vals AI | – | 57.6% |
| Terminal-Bench Science | Vals AI | – | 44.3% |
| Time Horizon Index: KSP | Vals AI | – | 52.5% |
| Vending-Bench 2 | Andon Labs | – | 13718.2† |
| AutomationBench | Artificial Analysis | 56.3% | 77.5% |
| GDP.pdf (AA) | Artificial Analysis | 13.4% | 21.8% |
| Harvey LAB-AA v1.1 | Harvey | – | 3.9% |
| EnterpriseOps-Gym | Artificial Analysis | 40.4% | – |
| AA-Briefcase v1.1 | Artificial Analysis | – | 1486 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | – | 52.9% |
| FACTS Search | – | 84.0%† | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | – | 86.0% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | – | 78.0% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 100.0% |
| ProofBench | Vals AI | – | 99.0%† |
| Arena Maths | Arena (LMArena) | – | 1529 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | – | 76.0% |
| LiveBench 2.0 Data Analysis | LiveBench | – | 85.2%† |
| LiveBench Research | LiveBench | – | 83.1%† |
| AA-Omniscience | Artificial Analysis | -10.7 | 42.4 |
| LegalBench | Vals AI | – | 88.3% |
| PRBench Finance | Scale AI SEAL | – | 49.9%† |
| PRBench Legal | Scale AI SEAL | – | 49.4%† |
| BioMysteryBench | Vals AI | – | 76.3% |
| Excel Modeling Benchmark | Vals AI | – | 75.2% |
| MedCode | Vals AI | – | 58.8% |
| MedScribe | Vals AI | – | 87.4% |
| Public Benefits Bench | Vals AI | – | 69.8% |
| EBR-bench | Epoch AI Benchmarking Hub | – | 64.8% |
| GDP.pdf | Epoch AI Benchmarking Hub | – | 28.4% |
| AA-Omniscience: accuracy | Artificial Analysis | 43.0% | 49.9% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 5.9% | 84.9% |
| Instruction following | |||
| IFBench | Artificial Analysis | 76.5% | – |
| MultiChallenge | Scale AI SEAL | – | 78.7%† |
| Arena Instruction Following | Arena (LMArena) | – | 1525 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1524 |
| Arena Creative Writing | Arena (LMArena) | – | 1516 |
| Arena Multi-turn | Arena (LMArena) | – | 1552 |
| Arena Longer Queries | Arena (LMArena) | – | 1543 |
| Multimodal | |||
| LiveBench Design | LiveBench | – | 73.7%† |
| SAGE | Vals AI | – | 53.6% |
| AudioMC | Scale AI SEAL | – | 58.4% |
| AudioMC (text output) | Scale AI SEAL | – | 58.4% |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | – | 54.5%† |
| AA-3D | Artificial Analysis | – | 1154 |
| Long context | |||
| AA-LCR | Artificial Analysis | 74.7% | 79.7% |
| MLCR | Artificial Analysis | 9.4% | 13.9% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 166.4† |
| LiveBench 2.0 | LiveBench | – | 84.1%† |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 30.4 | 52.6 |
| Vals Index | Vals AI | – | 69.2 |
Data as of 2026-10-22. Best configuration of each model; every score links to its source on the model pages.
What changed
- Gemini 4 Argon: list price moves to $4.00 / $20.00 per 1M input / output tokens (announced).
- Gemini 4 Argon (high): 2 new results (MirrorCode, MLCR).
- Gemini 4 Argon (high): 1 new result (Harvey LAB-AA v1.1); 2 score revisions.
- Gemini 4 Argon (high): 3 new results (LMCA, DTBench, ALE-Bench).
- Gemini 4 Argon (high): 5 new results (Analyst Agent (AA), FrontierCode 1.1 (AA), Terminal-Bench-Science 0.1 (AA)…); 1 score revision.
- Gemini 4 Argon (high): 6 new results (EBR-bench, Time Horizon Index: KSP, Vibe Code Bench 1-100…); 1 score revision.
- Gemini 4 Argon (high): BenchLeader Index 70.5 → 71.1.
- Gemini 4 Argon (high): 10 new results (FrontierMath Tiers 1–3, FrontierMath Tier 4, OTIS Mock AIME…); 1 score revision.
- Gemini 4 Argon (high): BenchLeader Index 69.6 → 70.5.
- Gemini 4 Argon (high): 2 new results (GPQA Diamond, SimpleQA Verified); 1 score revision.
Related comparisons
- DeepSeek V4 Pro 0424 vs Claude Opus 5.5
- DeepSeek V4 Pro 0424 vs Muse Wonder Full
- DeepSeek V4 Pro 0424 vs Claude Fable 5.1
- Gemini 4 Argon vs Claude Opus 5.5
- Gemini 4 Argon vs Muse Wonder Full
- Gemini 4 Argon vs Claude Fable 5.1
- Gemini 4 Argon vs GPT-6 Astra
- DeepSeek V4 Pro 0424 vs GPT-6 Astra
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
DeepSeek V4 Pro 0424 vs Gemini 4 Argon: questions
- Is DeepSeek V4 Pro 0424 better than Gemini 4 Argon?
- Gemini 4 Argon (high) leads on quality: 71.0 vs 59.7. The BenchLeader Index combines every independent quality benchmark; Gemini 4 Argon (high) is ahead overall as of 2026-10-22, but check the category scores for your use.
- Which is cheaper, DeepSeek V4 Pro 0424 or Gemini 4 Argon, and will that change?
- DeepSeek V4 Pro 0424 is cheaper today: $0.548 against $4.00 per million tokens, blended at three input tokens per output token. Yes, that changes: Gemini 4 Argon's list price changes on 1 Dec 2026, and from then DeepSeek V4 Pro 0424 is cheaper ($0.547 vs $8.00 blended).
- Is DeepSeek V4 Pro 0424 better than Gemini 4 Argon for agents and tool use?
- Gemini 4 Argon scores higher in agentic tasks (72 vs 64 on the category index, where 50 is average).
- Which is better for long documents?
- Gemini 4 Argon scores higher on long-context benchmarks (65 vs 62). Both take about 1M tokens: DeepSeek V4 Pro 0424 1,000,000, Gemini 4 Argon 1,048,576.
- Which has lower latency?
- Gemini 4 Argon (high) answers first: 47.1 s against 49.0 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Which is faster, DeepSeek V4 Pro 0424 or Gemini 4 Argon?
- DeepSeek V4 Pro 0424 streams faster: 92 against 81 output tokens per second.
- Do independent benchmarks agree on DeepSeek V4 Pro 0424 vs Gemini 4 Argon?
- Across the 13 benchmarks both have, DeepSeek V4 Pro 0424 leads 0, Gemini 4 Argon leads 13. Every overall index that rates both puts Gemini 4 Argon ahead.
- When was Gemini 4 Argon released?
- Gemini 4 Argon became generally available on 13 Oct 2026, after first appearing on 30 Sept 2026.