Gemini 4 Hydrogen vs Qwen3.6 Max
Full profiles: Gemini 4 Hydrogen (Google) and Qwen3.6 Max (Alibaba): every benchmark, price and rank.
Updated · Data from 7 sources
As of 13 Nov 2026, Gemini 4 Hydrogen and Qwen3.6 Max are neck and neck on quality (63.4 vs 62.1 on the BenchLeader Index, inside the ±3.6 margin), and they cost about the same at $3.00 vs $2.92 per 1M tokens blended. Choose Gemini 4 Hydrogen for coding (69 vs 56), reasoning (70 vs 61), and knowledge (69 vs 60); choose Qwen3.6 Max for agents & tools (72 vs 62).
Key facts (as of 13 Nov 2026)
- Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and Qwen3.6 Max scores 62.1 (BenchLeader, 13 Nov 2026).
- Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
- Qwen3.6 Max costs $2.92 per 1M tokens blended (list price, 13 Nov 2026).
- Of the 8 benchmarks both models have, Gemini 4 Hydrogen leads 8 (BenchLeader, 13 Nov 2026).
- On Arena WebDev, Gemini 4 Hydrogen is rated 1704 and Qwen3.6 Max 1482 (LMArena, as published by 13 Nov 2026).
Which 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 |
|---|---|---|---|
| Coding | Gemini 4 Hydrogen | 69 vs 56 category score; Arena WebDev 1704 vs 1482 | High |
| Agents & tool use | Qwen3.6 Max | 72 vs 62 category score | High |
| Maths | Gemini 4 Hydrogen | 68 vs 64 category score; Arena Maths 1495 vs 1471 | Medium |
| Reasoning | Gemini 4 Hydrogen | 70 vs 61 category score; Arena Hard Prompts 1514 vs 1481 | High |
| Knowledge | Gemini 4 Hydrogen | 69 vs 60 category score | High |
| Chat quality (human preference) | Gemini 4 Hydrogen | 68 vs 65 on Arena votes | Medium |
| Lowest cost | Either | $3.00 vs $2.92 per 1M blended; agentic coding session $0.120 vs $0.109 | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Gemini 4 Hydrogen (high) and Qwen3.6 Max (max) are neck and neck on quality (63.4 vs 62.1, within the ±3.6 margin).
- Gemini 4 Hydrogen (high) is stronger in coding, human preference, knowledge, maths, reasoning.
- Qwen3.6 Max (max) is stronger in agents & tools.
- They cost about the same ($2.92 per 1M blended).
At a glance
| Spec | Gemini 4 Hydrogen | Qwen3.6 Max |
|---|---|---|
| Developer | Alibaba | |
| Released | 12 Nov 2026 | 20 Apr 2026 |
| Context window (tokens) | 1,048,576 | 262,144 |
| Compared at | Gemini 4 Hydrogen (high) | Qwen3.6 Max (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $1.50 / $7.50 / $0.075 | $1.30 / $7.80 / $0.130 |
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 | Gemini 4 Hydrogen (high) | Qwen3.6 Max (max) | Leader |
|---|---|---|---|
| Reasoning | 69.6 | 60.8 | Gemini 4 Hydrogen |
| Coding | 68.8 | 55.9 | Gemini 4 Hydrogen |
| Agents & tools | 61.9 | 72.1 | Qwen3.6 Max |
| Maths | 67.8 | 64.4 | Gemini 4 Hydrogen |
| Knowledge | 68.5 | 59.7 | Gemini 4 Hydrogen |
| Instruction following | – | 74.7 | not comparable |
| Human preference | 68.2 | 64.5 | Gemini 4 Hydrogen |
| Long context | – | 65.0 | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Instruction following, Long context, Multimodal.
Where sources disagree
Across the 8 benchmarks both have, Gemini 4 Hydrogen leads 8, Qwen3.6 Max leads 0. Every overall index that rates both puts Gemini 4 Hydrogen ahead.
| Overall index | Gemini 4 Hydrogen (high) | Qwen3.6 Max (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 63.4 | 62.1 | neck and neck |
| Arena Text | 1490 | 1460 | Gemini 4 Hydrogen |
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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Gemini 4 Hydrogen (high) | Qwen3.6 Max (max) |
|---|---|---|
| Blended price per 1M tokens | $3.00 | $2.92 |
| Input / output per 1M | $1.50 / $7.50 | $1.30 / $7.80 |
| Cached input per 1M | $0.075 | $0.130 |
| Price per task: chat reply | $0.0029 | $0.0029 |
| Price per task: summarize a 30-page report | $0.022 | $0.020 |
| Price per task: code edit | $0.020 | $0.019 |
| Price per task: agentic coding session | $0.120 | $0.109 |
| Price per task: structured extraction | $0.0045 | $0.0042 |
| Agentic coding session, input mostly cached | $0.056 | $0.057 |
| Cost per benchmark task (AA Index) | $1.87 | – |
| Output tokens per task (AA Index) | 85k | – |
| Of which reasoning | 48k | – |
| Time per task (AA Index) | 8 min | – |
| Output speed | 180 tok/s | – |
| Time to first answer | 16.4 s | – |
| Time to a complete answer | 63.3 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Hydrogen (high) scores 63.4 and takes 16 s to its first answer token. Qwen3.6 Max (max) scores 62.1. 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
64 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 | Gemini 4 Hydrogen (high) | Qwen3.6 Max (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.4 | 62.1 |
| Agents & tools score | BenchLeader | 61.9 | 72.1 |
| Coding score | BenchLeader | 68.8 | 55.9 |
| Human preference score | BenchLeader | 68.2 | 64.5 |
| Knowledge score | BenchLeader | 68.5 | 59.7 |
| Maths score | BenchLeader | 67.8 | 64.4 |
| Reasoning score | BenchLeader | 69.6 | 60.8 |
| Instruction following score | BenchLeader | – | 74.7 |
| Long context score | BenchLeader | – | 65.0 |
| Blended price $/M | BenchLeader | $3.00 | $2.92 |
| Output speed | BenchLeader | 180 tok/s | – |
| Time to first answer | BenchLeader | 16.4 s | – |
| Context window | BenchLeader | 1,048,576 tokens | 262,144 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 87.4% |
| SimpleBench | SimpleBench | – | 63.0% |
| Arena Hard Prompts | Arena (LMArena) | 1514 | 1481 |
| LiveBench 2.0 Reasoning | LiveBench | 88.6%† | – |
| GPQA Diamond (AA) | Artificial Analysis | – | 88.8% |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 30.8% |
| HLE-Diamond (AA) | Artificial Analysis | 54.9% | – |
| CritPt | Artificial Analysis | – | 3.7% |
| CritPt v2 hard subset (AA) | Artificial Analysis | 61.5% | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | – | 19.0%† |
| LMCA | Epoch AI Benchmarking Hub | – | 42.5% |
| DTBench | Epoch AI Benchmarking Hub | – | 87.2% |
| Coding | |||
| SWE-bench Verified (Epoch) | Epoch AI Benchmarking Hub | – | 76.7% |
| Arena Coding | Arena (LMArena) | 1518 | 1510 |
| Arena WebDev | Arena (LMArena) | 1704 | 1482 |
| LiveBench 2.0 Coding | LiveBench | 78.5%† | – |
| SWE-bench (Vals) | Vals AI | – | 72.8% |
| Vibe Code Bench v1.1 | Vals AI | 87.8%† | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 54.0% | – |
| Design Arena Website | Design Arena | 1316† | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 36.3% | – |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 56.4% | – |
| LiveBench Long Agentic | LiveBench | 61.8%† | – |
| LiveBench Browser | LiveBench | 77.1%† | – |
| Terminal-Bench Hard | Artificial Analysis | – | 43.9% |
Show all 64 benchmarks
| Metric | Publisher | Gemini 4 Hydrogen (high) | Qwen3.6 Max (max) |
|---|---|---|---|
| Agents & tools | |||
| τ²-Bench Telecom (AA) | Artificial Analysis | – | 95.9% |
| Finance Agent v2.1 | Vals AI | 65.1%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 11.3%† | – |
| Legal Research Bench | Vals AI | 53.9%† | – |
| Tax Agent Bench | Vals AI | 52.3%† | – |
| Terminal-Bench 2.0 (Vals) | Vals AI | – | 51.7% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 54.0%† | – |
| Vending-Bench 2 | Andon Labs | – | 4254.2 |
| AutomationBench | Artificial Analysis | 74.4% | – |
| GDP.pdf (AA) | Artificial Analysis | 30.0% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1497 | – |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 41.4% | – |
| Maths | |||
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 91.1% |
| Arena Maths | Arena (LMArena) | 1495 | 1471 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | – | 52.0% |
| LiveBench 2.0 Data Analysis | LiveBench | 83.2%† | – |
| LiveBench Research | LiveBench | 86.8%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 43.7 | – |
| CorpFin | Vals AI | – | 66.5% |
| CaseLaw v2 | Vals AI | – | 47.9% |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.8%† | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 48.2% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 91.3% | – |
| Instruction following | |||
| IFBench | Artificial Analysis | – | 76.6% |
| Arena Instruction Following | Arena (LMArena) | 1503 | 1451 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1490 | 1460 |
| Arena Creative Writing | Arena (LMArena) | 1492 | 1438 |
| Arena Multi-turn | Arena (LMArena) | 1476 | 1466 |
| Arena Longer Queries | Arena (LMArena) | 1514 | 1473 |
| Multimodal | |||
| LiveBench Design | LiveBench | 77.3%† | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | – | 80.7% |
| MLCR | Artificial Analysis | 21.1%† | – |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 149.8 |
| LiveBench 2.0 | LiveBench | 77.0%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 50.8 | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 28.4 |
| AA Progress Index v1 | Artificial Analysis | – | 297.1 |
| Vals Index | Vals AI | 68.5† | – |
| Vals Finance Index | Vals AI | 66.1%† | – |
Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.
What changed
- Gemini 4 Hydrogen (high): 10 new results (Arena Text, Arena Hard Prompts, Arena Coding…).
- Qwen3.6 Max (max): BenchLeader Index 62.8 → 62.3.
- Qwen3.6 Max (max): 1 new result (AA Progress Index v1).
- Qwen3.6 Max (max): BenchLeader Index 63.3 → 62.8.
Related comparisons
- Gemini 4 Hydrogen vs Claude Fable 5.2
- Gemini 4 Hydrogen vs Gemini 4 Carbon
- Gemini 4 Hydrogen vs Claude Opus 5.5
- Qwen3.6 Max vs Claude Fable 5.2
- Qwen3.6 Max vs Gemini 4 Carbon
- Qwen3.6 Max vs Claude Opus 5.5
- Qwen3.6 Max vs GPT-6 Astra
- Gemini 4 Hydrogen vs Claude Fable 5.1
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Gemini 4 Hydrogen vs Qwen3.6 Max: questions
- Is Gemini 4 Hydrogen better than Qwen3.6 Max?
- Gemini 4 Hydrogen (high) and Qwen3.6 Max (max) are neck and neck on quality (63.4 vs 62.1, within the ±3.6 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 13 Nov 2026, so check the category scores for your use.
- Gemini 4 Hydrogen vs Qwen3.6 Max: which is cheaper, and will that change?
- Qwen3.6 Max is cheaper today: $2.92 against $3.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Gemini 4 Hydrogen or Qwen3.6 Max better for coding?
- Gemini 4 Hydrogen scores higher in coding (69 vs 56 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1704 for Gemini 4 Hydrogen against 1482 for Qwen3.6 Max.
- Is Gemini 4 Hydrogen or Qwen3.6 Max better for agents and tool use?
- Qwen3.6 Max scores higher in agentic tasks (72 vs 62 on the category index, where 50 is average).
- Which is better for long documents?
- Gemini 4 Hydrogen accepts more context: 1,048,576 against 262,144 tokens for Qwen3.6 Max.
More questions (2)
- Do independent benchmarks agree on Gemini 4 Hydrogen vs Qwen3.6 Max?
- Across the 8 benchmarks both have, Gemini 4 Hydrogen leads 8, Qwen3.6 Max leads 0. Every overall index that rates both puts Gemini 4 Hydrogen ahead.
- When was Gemini 4 Hydrogen released?
- Gemini 4 Hydrogen was released on 12 Nov 2026.