Agentic
Directional only- Hy3 Preview
- 49.9
- Estimated · #66/151
- MAI-Thinking-1
- 51.7
- Estimated · #53/151
- Basis
- BenchAlign lane · 2 vs 1 public rows
- Reading
- Directional only
Hy3 Preview vs MAI-Thinking-1
Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Hy3 Preview has the higher public score estimate, 57.08 versus 52.27, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
5 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Hy3 Preview and MAI-Thinking-1 are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Hy3 Preview and MAI-Thinking-1 are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 Hy3 Preview only
5 Shared
9 MAI-Thinking-1 only
- Shared results
- 5
- Hy3 Preview only
- 1
- MAI-Thinking-1 only
- 9
- Like-for-like categories
- 0 / 8
4 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Coding
Directional only- Hy3 Preview
- 45.9
- Estimated · #103/183
- MAI-Thinking-1
- 51.8
- Estimated · #60/183
- Basis
- BenchAlign lane · 2 vs 4 public rows
- Reading
- Directional only
Knowledge
Directional only- Hy3 Preview
- 50.6
- Estimated · #86/181
- MAI-Thinking-1
- 53.3
- Estimated · #68/181
- Basis
- BenchAlign lane · 2 vs 4 public rows
- Reading
- Directional only
Instruction following
Directional only- Hy3 Preview
- 54.8
- #74/120
- MAI-Thinking-1
- 94.7
- #1/120
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Directional only
Reasoning
Not comparable- Hy3 Preview
- Not ranked
- MAI-Thinking-1
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Hy3 Preview
- Not ranked
- MAI-Thinking-1
- 73.4
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Hy3 Preview
- Not ranked
- MAI-Thinking-1
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Hy3 Preview
- Not ranked
- MAI-Thinking-1
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Hy3 Preview | MAI-Thinking-1 | Basis | Reading |
|---|---|---|---|---|
| Agentic | 49.9Estimated · #66/151 | 51.7Estimated · #53/151 | Directional onlyBenchAlign lane · 2 vs 1 public rows | Directional only |
| Coding | 45.9Estimated · #103/183 | 51.8Estimated · #60/183 | Directional onlyBenchAlign lane · 2 vs 4 public rows | Directional only |
| Knowledge | 50.6Estimated · #86/181 | 53.3Estimated · #68/181 | Directional onlyBenchAlign lane · 2 vs 4 public rows | Directional only |
| Instruction following | 54.8#74/120 | 94.7#1/120 | Directional onlyProvisional lane · 0 vs 1 weighted rows | Directional only |
| Reasoning | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | 73.4Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
Terminal-Bench 2.0
Agentic
GPQA
Knowledge
SWE-bench Verified
Coding
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- MAI-Thinking-1
- API rate not published
- Fits in one request
Hy3 Preview has no comparable published API token rate. MAI-Thinking-1 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- MAI-Thinking-1
- API rate not published
- Fits in one request
Hy3 Preview has no comparable published API token rate. MAI-Thinking-1 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- MAI-Thinking-1
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Hy3 Preview has no comparable published API token rate. MAI-Thinking-1 has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationHy3 PreviewMAI-Thinking-1
Context window
Maximum documented context; output-token limits may be lower.
Hy3 Preview
256K
MAI-Thinking-1
256K
API model ID
Hy3 Preview
Not sourced
MAI-Thinking-1
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Hy3 Preview
No comparable hosted API rate
MAI-Thinking-1
No comparable hosted API rate
Documented inputs
Hy3 Preview
Not sourced
MAI-Thinking-1
Not sourced
Documented outputs
Hy3 Preview
Not sourced
MAI-Thinking-1
Not sourced
Provider availability
Hy3 Preview
Not sourced
MAI-Thinking-1
Not sourced
Reasoning profile
Hy3 Preview
Reasoning
MAI-Thinking-1
Reasoning
Weight access
Hy3 Preview
Open Weight
MAI-Thinking-1
Proprietary
License
Hy3 Preview
Open Weight
MAI-Thinking-1
Proprietary
Release date
Hy3 Preview
2026-04-23
MAI-Thinking-1
2026-06-02
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- Hy3 Preview has the higher public score estimate, 57.08 versus 52.27, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Both models list 256K.
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence15 rows
Agentic
Coding
SWE-bench Verified
Hy3 Preview74.4%SourceMAI-Thinking-173.5%SourceHy3 Preview leads this result
Terminal-Bench 2.0
Hy3 Preview54.4%SourceMAI-Thinking-146.0%SourceHy3 Preview leads this result
LiveCodeBench v6
Hy3 Preview—MAI-Thinking-187.7%SourceNot directly comparable
SWE-bench Pro
Hy3 Preview—MAI-Thinking-152.8%SourceNot directly comparable
Reasoning
Graphwalks BFS 128K
Hy3 Preview—MAI-Thinking-190%SourceNot directly comparable
Knowledge
GPQA
Hy3 Preview87.2%SourceMAI-Thinking-184.2%SourceHy3 Preview leads this result
GPQA-D
Hy3 Preview87.2%SourceMAI-Thinking-184.2%SourceHy3 Preview leads this result
MMLU-Pro
Hy3 Preview—MAI-Thinking-185%SourceNot directly comparable
SimpleQA
Hy3 Preview—MAI-Thinking-131%SourceNot directly comparable
Math
Instruction following
IFBench
Hy3 Preview—MAI-Thinking-185%SourceNot directly comparable
Frequently asked questions
Which is better, Hy3 Preview or MAI-Thinking-1?
Hy3 Preview has the higher public score estimate, 57.08 versus 52.27, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Hy3 Preview or MAI-Thinking-1?
MAI-Thinking-1 scores higher for coding on the public lane, 51.8 to 45.9. Hy3 Preview and MAI-Thinking-1 are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Hy3 Preview or MAI-Thinking-1?
MAI-Thinking-1 scores higher for agentic tasks on the public lane, 51.7 to 49.9. Hy3 Preview and MAI-Thinking-1 are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Hy3 Preview or MAI-Thinking-1?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Hy3 Preview or MAI-Thinking-1?
Both models list the same context window, 256K.
Related comparisons
Last updated September 4, 2026
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