Coding
Like-for-like- Hy3 Preview
- 74.4
- Qwen3.5-122B-A10B
- 72.0
- Weighted basis
- 1 vs 1 rows
- Reading
- Hy3 Preview leads
Provider changes are easy to miss. Radar watches releases, pricing, deprecations, and incidents at the source.Provider changes are easy to miss.
See RadarModel comparison
Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Qwen3.5-122B-A10B has the higher public score estimate, 59.55 versus 42.8, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Code generation, repair, and software-engineering tasks
Hy3 Preview
Hy3 Preview leads on the same 1 weighted benchmark row.
Confidence: limited
Prompts that approach the documented context limit
Qwen3.5-122B-A10B
Qwen3.5-122B-A10B has the larger documented context window.
Confidence: documented
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
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
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
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
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
| Category | Hy3 Preview | Qwen3.5-122B-A10B | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 74.4 | 72.0 | Like-for-like1 vs 1 rows | Hy3 Preview leads |
| Agentic | 54.4 | 56.4 | Directional only1 vs 3 rows | Directional only |
| Knowledge | 87.2 | 83.6 | Directional only1 vs 3 rows | Directional only |
| Reasoning | Not measured | 60.2 | Not comparable0 vs 1 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | 82.2 | Not comparable0 vs 1 rows | Not comparable |
| Multimodal | Not measured | 77.2 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | 93.4 | Not comparable0 vs 1 rows | Not comparable |
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
SWE-bench Verified
Coding
GPQA
Knowledge
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.
1K fresh input + 500 output tokens
Hy3 Preview has no comparable published API token rate. Qwen3.5-122B-A10B has no comparable published API token rate.
50K fresh input + 3K output tokens
Hy3 Preview has no comparable published API token rate. Qwen3.5-122B-A10B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Hy3 Preview has no comparable published API token rate. Qwen3.5-122B-A10B has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Hy3 Preview
256K
Qwen3.5-122B-A10B
262K
Hy3 Preview
Not sourced
Qwen3.5-122B-A10B
Not sourced
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
Qwen3.5-122B-A10B
No comparable hosted API rate
Hy3 Preview
Not sourced
Qwen3.5-122B-A10B
Not sourced
Hy3 Preview
Not sourced
Qwen3.5-122B-A10B
Not sourced
Hy3 Preview
Not sourced
Qwen3.5-122B-A10B
Not sourced
Hy3 Preview
Reasoning
Qwen3.5-122B-A10B
Reasoning
Hy3 Preview
Open Weight
Qwen3.5-122B-A10B
Open Weight
Hy3 Preview
Open Weight
Qwen3.5-122B-A10B
Open Weight
Hy3 Preview
2026-04-23
Qwen3.5-122B-A10B
2026-03-04
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Hy3 Preview leads this result
Gert Labs
Not directly comparable
BrowseComp
Not directly comparable
OSWorld-Verified
Not directly comparable
LongBench v2
Not directly comparable
GPQA
Hy3 Preview leads this result
GPQA-D
Not directly comparable
MMLU-Pro
Not directly comparable
SuperGPQA
Not directly comparable
MMLU-ProX
Not directly comparable
MMMU
Not directly comparable
MMVU
Not directly comparable
MathVision
Not directly comparable
CharXiv
Not directly comparable
V*
Not directly comparable
IFEval
Not directly comparable
Qwen3.5-122B-A10B has the higher public score estimate, 59.55 versus 42.8, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Hy3 Preview leads the like-for-like coding comparison across 1 shared weighted benchmark row.
The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Qwen3.5-122B-A10B has the larger documented context window: 262K, compared with 256K.
Last updated August 7, 2026
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