Gemini 4 Hydrogen vs Kimi K3.1 Pro
Full profiles: Gemini 4 Hydrogen (Google) and Kimi K3.1 Pro (Moonshot AI): every benchmark, price and rank.
Updated · Data from 8 sources
As of 13 Nov 2026, Gemini 4 Hydrogen and Kimi K3.1 Pro are neck and neck on quality (63.4 vs 61.3 on the BenchLeader Index, inside the ±3.4 margin), and Gemini 4 Hydrogen is 1.3× cheaper at $3.00 vs $4.00 per 1M tokens blended. Gemini 4 Hydrogen leads in every category we measure both in. Gemini 4 Hydrogen streams 3×+ faster.
Key facts (as of 13 Nov 2026)
- Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and Kimi K3.1 Pro scores 61.3 (BenchLeader, 13 Nov 2026).
- Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
- Kimi K3.1 Pro costs $4.00 per 1M tokens blended (list price, 13 Nov 2026).
- Gemini 4 Hydrogen streams 3×+ faster than Kimi K3.1 Pro (Artificial Analysis, 7-day median, 13 Nov 2026).
- Of the 8 benchmarks both models have, Gemini 4 Hydrogen leads 6 (BenchLeader, 13 Nov 2026).
- On Arena WebDev, Gemini 4 Hydrogen is rated 1704 and Kimi K3.1 Pro 1687 (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 | Either | 69 vs 68 category score; Arena WebDev 1704 vs 1687 | Either |
| Agents & tool use | Either | 62 vs 62 category score; Terminal-Bench 56.4% vs 59.7% | Either |
| Reasoning | Gemini 4 Hydrogen | 70 vs 67 category score; Arena Hard Prompts 1514 vs 1504 | Medium |
| Chat quality (human preference) | Either | 68 vs 68 on Arena votes | Either |
| Lowest cost | Gemini 4 Hydrogen | $3.00 vs $4.00 per 1M blended; agentic coding session $0.120 vs $0.160 | – |
| Fastest first answer | Gemini 4 Hydrogen | 16.4 s (Gemini 4 Hydrogen (high)) vs 170.3 s (Kimi K3.1 Pro (max)) 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 Hydrogen (high) and Kimi K3.1 Pro (max) are neck and neck on quality (63.4 vs 61.3, within the ±3.4 margin).
- Gemini 4 Hydrogen (high) is stronger in coding, human preference, reasoning.
- Kimi K3.1 Pro (max) is stronger in agents & tools.
- Gemini 4 Hydrogen (high) is 1.3× cheaper ($3.00 vs $4.00 per 1M blended).
- Gemini 4 Hydrogen (high) streams 5.8× faster (180 vs 31 tokens per second).
At a glance
| Spec | Gemini 4 Hydrogen | Kimi K3.1 Pro |
|---|---|---|
| Developer | Moonshot AI | |
| Released | 12 Nov 2026 | 23 Oct 2026 |
| Context window (tokens) | 1,048,576 | 1,048,576 |
| Compared at | Gemini 4 Hydrogen (high) | Kimi K3.1 Pro (max) |
| Open weights | No | Yes |
| Price in / out / cached input per 1M | $1.50 / $7.50 / $0.075 | $2.00 / $10.00 / $0.200 |
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) | Kimi K3.1 Pro (max) | Leader |
|---|---|---|---|
| Reasoning | 69.6 | 66.9 | Gemini 4 Hydrogen |
| Coding | 68.8 | 68.3 | level |
| Agents & tools | 61.9 | 62.0 | level |
| Maths | 67.8 | – | not comparable |
| Knowledge | 68.5 | – | not comparable |
| Human preference | 68.2 | 67.6 | level |
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: Maths, Knowledge, Instruction following, Long context, Multimodal.
Where sources disagree
Across the 8 benchmarks both have, Gemini 4 Hydrogen leads 6, Kimi K3.1 Pro leads 2. Every overall index that rates both puts Gemini 4 Hydrogen ahead.
| Overall index | Gemini 4 Hydrogen (high) | Kimi K3.1 Pro (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 63.4 | 61.3 | neck and neck |
| AA Intelligence Index v5.0 | 50.8 | 46.5† | Gemini 4 Hydrogen |
| Vals Index | 68.5† | 62.5 | Gemini 4 Hydrogen |
| Arena Text | 1490 | 1485 | 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) | Kimi K3.1 Pro (max) |
|---|---|---|
| Blended price per 1M tokens | $3.00 | $4.00 |
| Input / output per 1M | $1.50 / $7.50 | $2.00 / $10.00 |
| Cached input per 1M | $0.075 | $0.200 |
| Price per task: chat reply | $0.0029 | $0.0038 |
| Price per task: summarize a 30-page report | $0.022 | $0.030 |
| Price per task: code edit | $0.020 | $0.027 |
| Price per task: agentic coding session | $0.120 | $0.160 |
| Price per task: structured extraction | $0.0045 | $0.0060 |
| Agentic coding session, input mostly cached | $0.056 | $0.079 |
| Cost per benchmark task (AA Index) | $1.87 | $3.68 |
| Output tokens per task (AA Index) | 85k | – |
| Of which reasoning | 48k | – |
| Time per task (AA Index) | 8 min | – |
| Output speed | 180 tok/s | 31 tok/s |
| Time to first answer | 16.4 s | 170.3 s |
| Time to a complete answer | 63.3 s | 417.5 s |
Per token is not per task: an average task of Artificial Analysis' Intelligence Index cost $1.87 on Gemini 4 Hydrogen (high) and $3.68 on Kimi K3.1 Pro (max), and Kimi K3.1 Pro (max) used about 1.5× as many tokens for the same work, which a per-token price hides.
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. Kimi K3.1 Pro (max) scores 61.3 and takes 170 s to its first answer token; Kimi K3.1 Pro scores 60.9 in 170 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
80 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) | Kimi K3.1 Pro (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.4 | 61.3 |
| Agents & tools score | BenchLeader | 61.9 | 62.0 |
| Coding score | BenchLeader | 68.8 | 68.3 |
| Human preference score | BenchLeader | 68.2 | 67.6 |
| Knowledge score | BenchLeader | 68.5 | – |
| Maths score | BenchLeader | 67.8 | – |
| Reasoning score | BenchLeader | 69.6 | 66.9 |
| Blended price $/M | BenchLeader | $3.00 | $4.00 |
| Output speed | BenchLeader | 180 tok/s | 31 tok/s |
| Time to first answer | BenchLeader | 16.4 s | 170.3 s |
| Context window | BenchLeader | 1,048,576 tokens | 1,048,576 tokens |
| Reasoning | |||
| Arena Hard Prompts | Arena (LMArena) | 1514 | 1504 |
| LiveBench 2.0 Reasoning | LiveBench | 88.6%† | 91.1%† |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 52.5%† |
| HLE-Diamond (AA) | Artificial Analysis | 54.9% | 37.3%† |
| CritPt | Artificial Analysis | – | 24.6%† |
| CritPt v2 hard subset (AA) | Artificial Analysis | 61.5% | 49.5%† |
| MysteryMechanism | Vals AI | – | 26.1% |
| LMCA | Epoch AI Benchmarking Hub | – | 57.6% |
| DTBench | Epoch AI Benchmarking Hub | – | 93.3% |
| Coding | |||
| SciCode | SciCode | – | 60.8%† |
| Arena Coding | Arena (LMArena) | 1518 | 1530 |
| Arena WebDev | Arena (LMArena) | 1704 | 1687 |
| LiveBench 2.0 Coding | LiveBench | 78.5%† | 67.8%† |
| IOI | Vals AI | – | 81.9% |
| Vibe Code Bench v1.1 | Vals AI | 87.8%† | 84.9% |
| ALE-Bench | Epoch AI Benchmarking Hub | – | 1932.8 |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 54.0% | 67.2%† |
| Startrise Frontend | Startrise | – | 82.5%† |
| GameBench 2 Overall | DuelLab GameBench 2 | – | 78.3† |
| GameBench 2 by reasoning setting | DuelLab GameBench 2 | – | 84.0 |
| Design Arena Website | Design Arena | 1316† | 1321† |
| FrontierCode 1.1 (AA) | Artificial Analysis | – | 47.1%† |
| FrontierCode 2.0 (AA) | Artificial Analysis | 36.3% | 25.4%† |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 56.4% | 59.7% |
| APEX-Agents | Mercor | – | 65.5%† |
Show all 80 benchmarks
| Metric | Publisher | Gemini 4 Hydrogen (high) | Kimi K3.1 Pro (max) |
|---|---|---|---|
| Agents & tools | |||
| Arena Agent | Arena (LMArena) | – | 4.9 |
| LiveBench Long Agentic | LiveBench | 61.8%† | 38.7%† |
| LiveBench Browser | LiveBench | 77.1%† | 75.9%† |
| HiL-Bench | Scale AI SEAL | – | 61.3%† |
| GDPval-AA v2.1, normalised score | Artificial Analysis | – | 67.3%† |
| GDPval-AA v2.1 | Artificial Analysis | – | 1861† |
| Analyst Agent (AA) | Artificial Analysis | – | 38.8%† |
| Finance Agent v2.1 | Vals AI | 65.1%† | 61.5% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 11.3%† | 11.7% |
| Legal Research Bench | Vals AI | 53.9%† | 37.5% |
| SREBench | Vals AI | – | 27.1% |
| Tax Agent Bench | Vals AI | 52.3%† | 24.9% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 54.0%† | 63.6% |
| Terminal-Bench Science | Vals AI | – | 31.4% |
| AutomationBench | Artificial Analysis | 74.4% | 73.3%† |
| GDP.pdf (AA) | Artificial Analysis | 30.0% | 31.4%† |
| AA-Briefcase v1.1 | Artificial Analysis | 1497 | 1675† |
| Design Arena Agentic | Design Arena | – | 1288† |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 41.4% | 34.3%† |
| CWE-Bench (AA) | Artificial Analysis | – | 60.8%† |
| DeepSec-Bench (AA) | Artificial Analysis | – | 36.7%† |
| CyberGym end-to-end (AA) | Artificial Analysis | – | 94.7%† |
| Maths | |||
| ProofBench | Vals AI | – | 91.0%† |
| Arena Maths | Arena (LMArena) | 1495 | – |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | 83.2%† | 79.1%† |
| LiveBench Research | LiveBench | 86.8%† | 82.1%† |
| AA-Omniscience v1.1 | Artificial Analysis | 43.7 | 29.9† |
| PRBench Finance | Scale AI SEAL | – | 47.5%† |
| PRBench Legal | Scale AI SEAL | – | 47.9%† |
| BioMysteryBench | Vals AI | – | 75.6% |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.8%† | 70.0% |
| DrugDiscoveryBench | Scale AI SEAL | – | 63.4%† |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 48.2% | 48.9%† |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 91.3% | 62.7%† |
| Instruction following | |||
| Arena Instruction Following | Arena (LMArena) | 1503 | 1487 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1490 | 1485 |
| Arena Creative Writing | Arena (LMArena) | 1492 | 1453 |
| Arena Multi-turn | Arena (LMArena) | 1476 | 1475 |
| Arena Longer Queries | Arena (LMArena) | 1514 | 1491 |
| Multimodal | |||
| LiveBench Design | LiveBench | 77.3%† | 73.7%† |
| MMMU-Pro | Artificial Analysis | – | 83.9%† |
| AA-3D | Artificial Analysis | – | 1112† |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | – | 86.3%† |
| MLCR | Artificial Analysis | 21.1%† | 38.3%† |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 161.4† |
| LiveBench 2.0 | LiveBench | 77.0%† | 68.7%† |
| AA Intelligence Index v5.0 | Artificial Analysis | 50.8 | 46.5† |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 55.1† |
| AA Progress Index v1 | Artificial Analysis | – | 340.7† |
| Vals Index | Vals AI | 68.5† | 62.5 |
| Vals Finance Index | Vals AI | 66.1%† | 56.0% |
| Vals Science Index | Vals AI | – | 44.4% |
| AA Cyber Index | Artificial Analysis | – | 64.1† |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 18.6%† |
| Metadata | |||
| AA Openness Index | Artificial Analysis | – | 33.3† |
Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.
DuelLab GameBench 2, release gb2-20261110-2acac640a228 (https://benchmarks.duellab.org/releases/gb2-20261110-2acac640a228/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.
What changed
- Kimi K3.1 Pro (max): BenchLeader Index 60.4 → 61.3.
- Gemini 4 Hydrogen (high): 10 new results (Arena Text, Arena Hard Prompts, Arena Coding…).
- Kimi K3.1 Pro (max): 1 new result (Terminal-Bench).
- Kimi K3.1 Pro (max): 9 new results (LMCA, DTBench, Arena Text…).
- Kimi K3.1 Pro (max): 1 score revision.
- Kimi K3.1 Pro (max): 1 score revision.
- Kimi K3.1 Pro (max): 1 new result (SREBench); 1 score revision.
- Kimi K3.1 Pro (max): 1 score revision.
- Kimi K3.1 Pro (max): 1 new result (Arena Agent).
- Kimi K3.1 Pro (max): 1 new result (ALE-Bench).
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- Kimi K3.1 Pro vs Claude Fable 5.2
- Kimi K3.1 Pro vs Gemini 4 Carbon
- Kimi K3.1 Pro vs Claude Opus 5.5
- Kimi K3.1 Pro vs GPT-6 Astra
- Gemini 4 Hydrogen vs Kimi K3
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Gemini 4 Hydrogen vs Kimi K3.1 Pro: questions
- Is Gemini 4 Hydrogen better than Kimi K3.1 Pro?
- Gemini 4 Hydrogen (high) and Kimi K3.1 Pro (max) are neck and neck on quality (63.4 vs 61.3, within the ±3.4 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 Kimi K3.1 Pro: which is cheaper, and will that change?
- Gemini 4 Hydrogen is cheaper today: $3.00 against $4.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Gemini 4 Hydrogen or Kimi K3.1 Pro better for coding?
- They are level in coding (69 vs 68 on the category index). On Arena WebDev, the top shared coding benchmark, it is 1704 for Gemini 4 Hydrogen against 1687 for Kimi K3.1 Pro.
- Which is faster, Gemini 4 Hydrogen or Kimi K3.1 Pro?
- Gemini 4 Hydrogen streams 3×+ faster (180 vs 31 output tokens per second, Artificial Analysis 7-day median).
- Is Gemini 4 Hydrogen or Kimi K3.1 Pro better for agents and tool use?
- They are level in agentic tasks (62 vs 62 on the category index). On Terminal-Bench, the top shared agents & tools benchmark, it is 56.4% for Gemini 4 Hydrogen against 59.7% for Kimi K3.1 Pro.
More questions (4)
- Which is better for long documents?
- Both accept 1,048,576 tokens of context.
- Which has lower latency?
- Gemini 4 Hydrogen answers first: 16.4 s against 170.3 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.
- Do independent benchmarks agree on Gemini 4 Hydrogen vs Kimi K3.1 Pro?
- Across the 8 benchmarks both have, Gemini 4 Hydrogen leads 6, Kimi K3.1 Pro leads 2. 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.