Agentic
Like-for-like- DeepSeek V4 Flash
- 49.1
- Hy3 Preview
- 54.4
- 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.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
6 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.
Tool use, computer use, and multi-step task completion
Hy3 Preview
Hy3 Preview leads on the same 1 weighted benchmark row.
Confidence: limited
Prompts that approach the documented context limit
DeepSeek V4 Flash
DeepSeek V4 Flash has the larger documented context window.
Confidence: documented
Code generation, repair, and software-engineering tasks
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 | DeepSeek V4 Flash | Hy3 Preview | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 49.1 | 54.4 | Like-for-like1 vs 1 rows | Hy3 Preview leads |
| Coding | 64.2 | 74.4 | Directional only2 vs 1 rows | Directional only |
| Knowledge | 38.8 | 87.2 | Directional only4 vs 1 rows | Directional only |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 40.8 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 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.
GPQA
Knowledge
Terminal-Bench 2.0
Agentic
SWE-bench Verified
Coding
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.
50K fresh input + 3K output tokens
Hy3 Preview has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Hy3 Preview 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.
DeepSeek V4 Flash
Hy3 Preview
256K
DeepSeek V4 Flash
deepseek-v4-flash
DeepSeek V4 Flash 0731 updateHy3 Preview
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
DeepSeek V4 Flash
$0.0028 per 1M cached input tokens
Hy3 Preview
No comparable hosted API rate
DeepSeek V4 Flash
Hy3 Preview
Not sourced
DeepSeek V4 Flash
Hy3 Preview
Not sourced
DeepSeek V4 Flash
Public Beta · DeepSeek API
DeepSeek V4 Flash 0731 updateHy3 Preview
Not sourced
DeepSeek V4 Flash
Non-Reasoning
Hy3 Preview
Reasoning
DeepSeek V4 Flash
Proprietary
Hy3 Preview
Open Weight
DeepSeek V4 Flash
Proprietary
Hy3 Preview
Open Weight
DeepSeek V4 Flash
2026-07-31
Hy3 Preview
2026-04-23
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
MCP Atlas
Not directly comparable
Toolathlon
Not directly comparable
Claw-Eval
Not directly comparable
Gert Labs
Shared sourceDeepSeek V4 Flash leads this result
LiveCodeBench Pass@1-COT
Not directly comparable
SWE-bench Verified
Hy3 Preview leads this result
SWE-bench Pro
Not directly comparable
SWE Multilingual
Not directly comparable
Terminal-Bench 2.0
Hy3 Preview leads this result
MMLU-Pro
Not directly comparable
SimpleQA
Not directly comparable
Chinese-SimpleQA
Not directly comparable
GPQA
Hy3 Preview leads this result
GPQA-D
Hy3 Preview leads this result
HLE
Not directly comparable
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
The current coding 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.
Hy3 Preview leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
DeepSeek V4 Flash has the larger documented context window: 1M, compared with 256K.
Last updated August 7, 2026
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