Hy4 preview vs Pareto 26.9
Hy4 preview costs 3.0x less per output token than Pareto 26.9 ($2.501 vs $7.50 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- 44.3
- Overall
- No data
- Output $/M
- $2.501
- Coding
- No data
- Overall
- No data
- Output $/M
- $7.50
Hy4 preview or Pareto 26.9: which to pick
Only Hy4 preview has a coding score, 44.3 on the Vibe Coding Index; Pareto 26.9 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Hy4 preview has results on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI); Pareto 26.9 has none yet. Compare them on price and context instead.
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 preview has a coding score, so no call is made.
One side not measured
General
Vals Index
No call
Only Hy4 preview has a Vals Index result, 53.2%.
Directional only
Long documents
Listed context window
Hy4 preview
Hy4 preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy4 preview
Hy4 preview $0.0021, Pareto 26.9 $0.0063 per turn.
List prices
At a glance
- Coding index
- Hy4 preview 44.3 from 3 benchmarks, Pareto 26.9 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Hy4 preview $2.501 against Pareto 26.9 $7.50 per million output tokens, 3.0x apart.
- Context window
- Hy4 preview takes 1.05M tokens, Pareto 26.9 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index10 boards measured
| Benchmark | Hy4 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| LMArena WebDev | 1631 | Not measured | Only Hy4 preview measured |
| Terminal-Bench 4 (Vals AI) | 8.1% | Not measured | Only Hy4 preview measured |
| Vibe Code Bench (Vals AI) | 77.5% | Not measured | Only Hy4 preview measured |
| Code migration (Vals AI) | 47.4% | Not measured | Only Hy4 preview measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Hy4 preview measured |
| IOI (Vals AI) | 59.3% | Not measured | Only Hy4 preview measured |
| Terminal-Bench 2.1 (Vals AI) | 55.1% | Not measured | Only Hy4 preview measured |
| CyberBench (Vals AI) | 65.4% | Not measured | Only Hy4 preview measured |
| LMArena WebDev: React | 1653 | Not measured | Only Hy4 preview measured |
| LMArena WebDev: HTML | 1620 | Not measured | Only Hy4 preview measured |
| Neither model has a result on the other 33 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Hy4 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| SREBench (Vals AI) | 2.3% | Not measured | Only Hy4 preview measured |
| Finance Agent (Vals AI) | 55.1% | Not measured | Only Hy4 preview measured |
| Tax Agent Bench (Vals AI) | 32.6% | Not measured | Only Hy4 preview measured |
| Legal Research Bench (Vals AI) | 45.2% | Not measured | Only Hy4 preview measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 8.8% | Not measured | Only Hy4 preview measured |
| Excel Modeling Benchmark (Vals AI) | 58.1% | Not measured | Only Hy4 preview measured |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only Hy4 preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Hy4 preview measured |
| Neither model has a result on the other 34 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Hy4 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| ProofBench | 75.0% | Not measured | Only Hy4 preview measured |
| Neither model has a result on the other 13 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Hy4 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.8% | Not measured | Only Hy4 preview measured |
| MedCode (Vals AI) | 43.3% | Not measured | Only Hy4 preview measured |
| Neither model has a result on the other 18 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Hy4 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| Vals Index | 53.2% | Not measured | Only Hy4 preview measured |
| Public Benefits Bench (Vals AI) | 68.6% | Not measured | Only Hy4 preview measured |
| MedScribe (Vals AI) | 83.6% | Not measured | Only Hy4 preview measured |
| Neither model has a result on the other 45 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 preview costs less
Repository review
50K input + 3K output tokens
Hy4 preview costs less
Agent loop
200K input + 10K output tokens
Hy4 preview 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 preview | Pareto 26.9 |
|---|---|---|
| Maker | Tencent | Unbiased |
| Weights | Open weights | No public weights listed |
| Released | August 28, 2026 | October 13, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.834 | $2.50 |
| Output $/Mtok | $2.501 | $7.50 |
| Coding index | 44.3 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy4 preview better than Pareto 26.9 for coding?
Only Hy4 preview has a coding score, 44.3 on the Vibe Coding Index; Pareto 26.9 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Hy4 preview or Pareto 26.9?
Hy4 preview costs $0.834 per million input tokens and $2.501 per million output tokens; Pareto 26.9 costs $2.50 and $7.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Hy4 preview or Pareto 26.9?
Hy4 preview, with 1.05M tokens against 262K.
Has any benchmark tested both Hy4 preview and Pareto 26.9?
No benchmark has tested both yet. Hy4 preview has results on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI); Pareto 26.9 has none yet. Compare them on price and context instead. Data as of October 23, 2026.