Kimi K3.1 Pro vs Hy4
Kimi K3.1 Pro leads Hy4 on coding, 82.2 to 65.2 on the Vibe Coding Index, and Hy4 costs 8.0x less per output token ($1.2505 vs $10.00 per million). Updated November 5, 2026; 6 benchmarks have a result for both.
Kimi K3.1 Pro or Hy4: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 65.2 for Hy4.
Pick Hy4 for output tokens 8.0x cheaper ($1.2505 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
- Shared results
- 6
- Kimi K3.1 Pro only
- 36
- Hy4 only
- 0
- Like-for-like categories
- 3 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
Kimi K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 65.2.
4 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Kimi K3.1 Pro has a AA Intelligence Index result, 46.5.
Directional only
Web design
Design Arena: websites
No call
Only Kimi K3.1 Pro has a Design Arena: websites result, 1326.
Directional only
General
Vals Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 62.5% against 59.4%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy4
Kimi K3.1 Pro $0.0070, Hy4 $0.0010 per turn.
List prices
At a glance
- Coding index
- Kimi K3.1 Pro 82.2 from 4 benchmarks, Hy4 65.2 from 2 benchmarks.
- Widest category
- Coding, 18.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Kimi K3.1 Pro 63.6% against Hy4 39.4%, 32.3 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against Hy4 $1.2505 per million output tokens, 8.0x apart.
- Context window
- Both take 1.05M tokens.
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 | Kimi K3.1 Pro | Bars | Hy4 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Agentic work | 0 | 3 | ||
| General | 1 | 0 | ||
| All shared boards | 3 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| LiveBench coding | 81.8% | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev | 1695 | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench 4 (Vals AI) | 63.6% | 39.4% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.9% | 81.0% | Kimi K3.1 Pro |
| IOI (Vals AI) | 81.9% | Not measured | Only Kimi K3.1 Pro measured |
| SciCode | 60.8% | Not measured | Only Kimi K3.1 Pro measured |
| ALE-Bench | 1932.8 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev: React | 1701 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev: HTML | 1706 | Not measured | Only Kimi K3.1 Pro measured |
| GameBench 2 | 84.0 | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 40 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.5 | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1313 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: agents building mobile apps | 1278 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: agents building Android apps | 1142 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: PowerPoint slides | 1189 | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench research | 77.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench browser | 75.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench long agentic | 39.1% | Not measured | Only Kimi K3.1 Pro measured |
| SREBench (Vals AI) | 27.1% | Not measured | Only Kimi K3.1 Pro measured |
| Tax Agent Bench (Vals AI) | 24.9% | 34.4% | Hy4 |
| Legal Research Bench (Vals AI) | 37.5% | 41.4% | Hy4 |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | 12.5% | Hy4 |
| BioMysteryBench (Vals AI) | 75.6% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench-Science (Vals AI) | 31.4% | Not measured | Only Kimi K3.1 Pro measured |
| Vals Science Index | 44.4% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.1% | Not measured | Only Kimi K3.1 Pro measured |
| MysteryMechanism (Vals AI) | 26.1% | Not measured | Only Kimi K3.1 Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 21 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| ProofBench | 91.0% | Not measured | Only Kimi K3.1 Pro measured |
| MathArena | 59.6% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| Neither model has a result on 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1326 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: UI components | 1397 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: game dev | 1413 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: data viz | 1304 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: 3D | 1453 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: all code categories | 1356 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: SVG | 1329 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: ASCII art | 1299 | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench design | 77.8% | Not measured | Only Kimi K3.1 Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | Hy4 | Leader |
|---|---|---|---|
| Vals Index | 62.5% | 59.4% | Kimi K3.1 Pro |
| LiveBench data analysis | 79.1% | Not measured | Only Kimi K3.1 Pro measured |
| Long context reasoning (AA-LCR) | 86.3% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | Hy4 | 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
Hy4 costs less
Repository review
50K input + 3K output tokens
Hy4 costs less
Agent loop
200K input + 10K output tokens
Hy4 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 | MoonshotAI Kimi K3.1 Pro | Tencent Hy4 |
|---|---|---|
| Maker | Moonshot AI | Tencent |
| Weights | Open weights | Open weights |
| Released | October 23, 2026 | November 4, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.417 |
| Output $/Mtok | $10.00 | $1.2505 |
| Coding index | 82.2 | 65.2 |
| Independent measurements behind it | 4 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than Hy4 for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 65.2 for Hy4. Pick Hy4 for output tokens 8.0x cheaper ($1.2505 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, Kimi K3.1 Pro or Hy4?
Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for neither of them.
Which has the bigger context window, Kimi K3.1 Pro or Hy4?
Neither: both take 1.05M tokens.
How many benchmarks is the Kimi K3.1 Pro vs Hy4 comparison based on?
6 benchmarks have a result for both models as of November 5, 2026. Kimi K3.1 Pro's coding index rests on 4 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.