Hy4 vs Pareto 26.10 Preview
Hy4 costs 2.6x less per output token than Pareto 26.10 Preview ($1.2505 vs $3.20 per million). Updated November 14, 2026; 1 benchmarks have a result for both.
Hy4 or Pareto 26.10 Preview: which to pick
Only Hy4 has a coding score, 65.2 on the Vibe Coding Index; Pareto 26.10 Preview has none, so the two cannot be ranked on coding.
Pick Pareto 26.10 Preview for work measured by GameBench 2, where it leads.
- Shared results
- 1
- Hy4 only
- 18
- Pareto 26.10 Preview only
- 0
- Like-for-like categories
- 1 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 Hy4 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Hy4 has a AA Intelligence Index result, 34.6.
Directional only
Web design
Design Arena: websites
No call
Only Hy4 has a Design Arena: websites result, 1251.
Directional only
General
Vals Index
No call
Only Hy4 has a Vals Index result, 59.4%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy4
Hy4 $0.0010, Pareto 26.10 Preview $0.0024 per turn.
List prices
At a glance
- Coding index
- Hy4 65.2 from 2 benchmarks, Pareto 26.10 Preview not benchmarked.
- Widest category
- Coding, 39.6 points apart on average over 1 shared benchmark.
- Widest single gap
- GameBench 2: Hy4 48.7 against Pareto 26.10 Preview 88.3, 39.6 points apart on a 0 to 100 scale.
- Output price
- Hy4 $1.2505 against Pareto 26.10 Preview $3.20 per million output tokens, 2.6x 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 | Hy4 | Bars | Pareto 26.10 Preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Terminal-Bench 4 (Vals AI) | 39.4% | Not measured | Only Hy4 measured |
| Vibe Code Bench (Vals AI) | 81.0% | Not measured | Only Hy4 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 37.4% | Not measured | Only Hy4 measured |
| FrontierCode 2.0 | 31.4% | Not measured | Only Hy4 measured |
| GameBench 2 | 48.7 | 88.3 | Pareto 26.10 Preview |
| Terminal-Bench 4.0 | 39.1% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 46 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.6 | Not measured | Only Hy4 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Tax Agent Bench (Vals AI) | 34.4% | Not measured | Only Hy4 measured |
| Legal Research Bench (Vals AI) | 41.4% | Not measured | Only Hy4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.5% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| HLE-Diamond (Artificial Analysis run) | 32.7% | Not measured | Only Hy4 measured |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 24 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| AA-Omniscience | 5.4 | Not measured | Only Hy4 measured |
| Neither model has a result on the other 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1251 | Not measured | Only Hy4 measured |
| Design Arena: UI components | 1197 | Not measured | Only Hy4 measured |
| Design Arena: game dev | 1271 | Not measured | Only Hy4 measured |
| Design Arena: 3D | 1251 | Not measured | Only Hy4 measured |
| Design Arena: all code categories | 1254 | Not measured | Only Hy4 measured |
| Neither model has a result on the other 4 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | Leader |
|---|---|---|---|
| Vals Index | 59.4% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 48 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Hy4 | Pareto 26.10 Preview | 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 | Tencent Hy4 | Pareto 26.10 Preview |
|---|---|---|
| Maker | Tencent | Unbiased |
| Weights | Open weights | No public weights listed |
| Released | November 4, 2026 | October 1, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.417 | $0.80 |
| Output $/Mtok | $1.2505 | $3.20 |
| Coding index | 65.2 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy4 better than Pareto 26.10 Preview for coding?
Only Hy4 has a coding score, 65.2 on the Vibe Coding Index; Pareto 26.10 Preview has none, so the two cannot be ranked on coding. Pick Pareto 26.10 Preview for work measured by GameBench 2, where it leads.
Which is cheaper, Hy4 or Pareto 26.10 Preview?
Hy4 costs $0.417 per million input tokens and $1.2505 per million output tokens; Pareto 26.10 Preview costs $0.80 and $3.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Hy4 or Pareto 26.10 Preview?
Neither: both take 1.05M tokens.
How many benchmarks is the Hy4 vs Pareto 26.10 Preview comparison based on?
1 benchmarks have a result for both models as of November 14, 2026. Hy4's coding index rests on 2 independent benchmarks and Pareto 26.10 Preview's on 0. Where only one model has a result, the page says so instead of naming a winner.