Hy3 preview vs Pareto 26.9
Hy3 preview costs 12.5x less per output token than Pareto 26.9 ($0.60 vs $7.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.60
- Coding
- No data
- Overall
- No data
- Output $/M
- $7.50
Hy3 preview or Pareto 26.9: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Hy3 preview for output tokens 12.5x cheaper ($0.60 vs $7.50 per million).
No benchmark has tested both yet. Hy3 preview has results on LMArena WebDev, AA Coding Index and Terminal-Bench Hard (Artificial Analysis run); 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Hy3 preview has a AA Intelligence Index result, 25.3.
Directional only
Agentic work
AA Agentic Index
No call
Only Hy3 preview has a AA Agentic Index result, 24.1.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3 preview
Hy3 preview $0.0005, Pareto 26.9 $0.0063 per turn.
List prices
At a glance
- Coding index
- Hy3 preview not benchmarked, 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
- Hy3 preview $0.60 against Pareto 26.9 $7.50 per million output tokens, 12.5x apart.
- Context window
- Both take 262K tokens.
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 Index7 boards measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| LMArena WebDev | 1357 | Not measured | Only Hy3 preview measured |
| AA Coding Index | 58.8 | Not measured | Only Hy3 preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.1% | Not measured | Only Hy3 preview measured |
| LMArena Text: coding | 1421 | Not measured | Only Hy3 preview measured |
| LMArena Text: software and IT | 1423 | Not measured | Only Hy3 preview measured |
| LMArena WebDev: React | 1349 | Not measured | Only Hy3 preview measured |
| LMArena WebDev: HTML | 1356 | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.3 | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| AA Agentic Index | 24.1 | Not measured | Only Hy3 preview measured |
| τ²-Bench Telecom | 92.7% | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 86.7% | Not measured | Only Hy3 preview measured |
| Humanity's Last Exam (Artificial Analysis run) | 27.8% | Not measured | Only Hy3 preview measured |
| LMArena Text: hard prompts | 1413 | Not measured | Only Hy3 preview measured |
| LMArena Text: expert | 1422 | Not measured | Only Hy3 preview measured |
| LMArena Text: hard prompts in English | 1416 | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| LMArena Text: math | 1424 | Not measured | Only Hy3 preview measured |
| LMArena Text: mathematical work | 1442 | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| LMArena Text: science | 1416 | Not measured | Only Hy3 preview measured |
| LMArena Text: medicine and healthcare | 1405 | Not measured | Only Hy3 preview measured |
| LMArena Text: legal and government | 1430 | Not measured | Only Hy3 preview measured |
| LMArena Text: business and finance | 1397 | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 16 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index15 boards measured
| Benchmark | Hy3 preview | Pareto 26.9 | Leader |
|---|---|---|---|
| IFBench | 63.1% | Not measured | Only Hy3 preview measured |
| Long context reasoning (AA-LCR) | 64.7% | Not measured | Only Hy3 preview measured |
| LMArena Text | 1401 | Not measured | Only Hy3 preview measured |
| LMArena Text: instruction following | 1383 | Not measured | Only Hy3 preview measured |
| LMArena Text: creative writing | 1339 | Not measured | Only Hy3 preview measured |
| LMArena Text: English | 1409 | Not measured | Only Hy3 preview measured |
| LMArena Text: non-English | 1390 | Not measured | Only Hy3 preview measured |
| LMArena Text: Chinese | 1435 | Not measured | Only Hy3 preview measured |
| LMArena Text: French | 1425 | Not measured | Only Hy3 preview measured |
| LMArena Text: Spanish | 1399 | Not measured | Only Hy3 preview measured |
| LMArena Text: Russian | 1399 | Not measured | Only Hy3 preview measured |
| LMArena Text: multi-turn | 1411 | Not measured | Only Hy3 preview measured |
| LMArena Text: longer queries | 1402 | Not measured | Only Hy3 preview measured |
| LMArena Text: writing and language | 1370 | Not measured | Only Hy3 preview measured |
| LMArena Text: entertainment and media | 1352 | Not measured | Only Hy3 preview measured |
| Neither model has a result on the other 33 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
Hy3 preview costs less
Repository review
50K input + 3K output tokens
Hy3 preview costs less
Agent loop
200K input + 10K output tokens
Hy3 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 Hy3 preview | Pareto 26.9 |
|---|---|---|
| Maker | Tencent | Unbiased |
| Weights | Open weights | No public weights listed |
| Released | April 22, 2026 | October 13, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.18 | $2.50 |
| Output $/Mtok | $0.60 | $7.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy3 preview better than Pareto 26.9 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Hy3 preview for output tokens 12.5x cheaper ($0.60 vs $7.50 per million).
Which is cheaper, Hy3 preview or Pareto 26.9?
Hy3 preview costs $0.18 per million input tokens and $0.60 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, Hy3 preview or Pareto 26.9?
Neither: both take 262K tokens.
Has any benchmark tested both Hy3 preview and Pareto 26.9?
No benchmark has tested both yet. Hy3 preview has results on LMArena WebDev, AA Coding Index and Terminal-Bench Hard (Artificial Analysis run); Pareto 26.9 has none yet. Compare them on price and context instead. Data as of October 22, 2026.