Knowledge
Directional only- DeepSeek V4 Pro (High)
- 57.0
- ZAYA1-8B
- 73.6
- Weighted basis
- 4 vs 2 rows
- Reading
- Directional only
Model comparison
DeepSeek V4 Pro (High) vs ZAYA1-8B
Updated August 5, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
DeepSeek V4 Pro (High) has the higher public score, 55.41 versus 31.58, and the 90% score intervals do not overlap.
6 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Long documents
Prompts that approach the documented context limit
DeepSeek V4 Pro (High)
DeepSeek V4 Pro (High) has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
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
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. ZAYA1-8B does not fit this workload in one request. ZAYA1-8B has no comparable published API token rate.
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.
17 DeepSeek V4 Pro (High) only
6 Shared
5 ZAYA1-8B only
- Shared results
- 6
- DeepSeek V4 Pro (High) only
- 17
- ZAYA1-8B only
- 5
- Like-for-like categories
- 0 / 8
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
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.
Math
Directional only- DeepSeek V4 Pro (High)
- 94.0
- ZAYA1-8B
- 80.4
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Agentic
Not comparable- DeepSeek V4 Pro (High)
- 70.6
- ZAYA1-8B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Coding
Not comparable- DeepSeek V4 Pro (High)
- 69.8
- ZAYA1-8B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- DeepSeek V4 Pro (High)
- Not measured
- ZAYA1-8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- DeepSeek V4 Pro (High)
- Not measured
- ZAYA1-8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- DeepSeek V4 Pro (High)
- Not measured
- ZAYA1-8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- DeepSeek V4 Pro (High)
- Not measured
- ZAYA1-8B
- 64.1
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
| Category | DeepSeek V4 Pro (High) | ZAYA1-8B | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 57.0 | 73.6 | Directional only4 vs 2 rows | Directional only |
| Math | 94.0 | 80.4 | Directional only1 vs 2 rows | Directional only |
| Agentic | 70.6 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Coding | 69.8 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 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 | 64.1 | Not comparable0 vs 2 rows | Not comparable |
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.
HMMT Feb 2026
Math
DeepSeek V4 Pro (High): 94.0%ZAYA1-8B: 71.6%Normalized gap 22.4DeepSeek V4 Pro (High) source ZAYA1-8B sourceGPQA
Knowledge
DeepSeek V4 Pro (High): 89.1%ZAYA1-8B: 71%Normalized gap 18.1DeepSeek V4 Pro (High) source ZAYA1-8B sourceMMLU-Pro
Knowledge
DeepSeek V4 Pro (High): 87.1%ZAYA1-8B: 74.2%Normalized gap 12.9DeepSeek V4 Pro (High) source ZAYA1-8B source
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
- DeepSeek V4 Pro (High)
- $0.00087
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Fits in one request
ZAYA1-8B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- DeepSeek V4 Pro (High)
- $0.02436
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Fits in one request
ZAYA1-8B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- DeepSeek V4 Pro (High)
- $0.01812
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
ZAYA1-8B does not fit this workload in one request. ZAYA1-8B 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.
SpecificationDeepSeek V4 Pro (High)ZAYA1-8B
Context window
Maximum documented context; output-token limits may be lower.
DeepSeek V4 Pro (High)
ZAYA1-8B
131K
API model ID
DeepSeek V4 Pro (High)
deepseek-v4-pro
DeepSeek models and pricingZAYA1-8B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
DeepSeek V4 Pro (High)
$0.003625 per 1M cached input tokens
ZAYA1-8B
No comparable hosted API rate
Documented inputs
DeepSeek V4 Pro (High)
ZAYA1-8B
Not sourced
Documented outputs
DeepSeek V4 Pro (High)
ZAYA1-8B
Not sourced
Provider availability
DeepSeek V4 Pro (High)
Preview · DeepSeek API, open weights
DeepSeek V4 Flash 0731 updateZAYA1-8B
Not sourced
Reasoning profile
DeepSeek V4 Pro (High)
Reasoning
ZAYA1-8B
Reasoning
Weight access
DeepSeek V4 Pro (High)
Open Weight
ZAYA1-8B
Open Weight
License
DeepSeek V4 Pro (High)
Open Weight
ZAYA1-8B
Open Weight
Release date
DeepSeek V4 Pro (High)
2026-04-24
ZAYA1-8B
2026-05-05
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
- DeepSeek V4 Pro (High) has the higher public score, 55.41 versus 31.58, and the 90% score intervals do not overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- DeepSeek V4 Pro (High) has the larger documented window (1M).
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 evidence28 rows
Agentic
Terminal-Bench 2.0
DeepSeek V4 Pro (High)63.3%SourceZAYA1-8B—Not directly comparable
BrowseComp
DeepSeek V4 Pro (High)80.4%SourceZAYA1-8B—Not directly comparable
HLE w/ tools
DeepSeek V4 Pro (High)44.7%SourceZAYA1-8B—Not directly comparable
MCP Atlas
DeepSeek V4 Pro (High)74.2%SourceZAYA1-8B—Not directly comparable
Toolathlon
DeepSeek V4 Pro (High)49%SourceZAYA1-8B—Not directly comparable
BFCL v4
DeepSeek V4 Pro (High)—ZAYA1-8B39.2%SourceNot directly comparable
Coding
LiveCodeBench Pass@1-COT
DeepSeek V4 Pro (High)89.8%SourceZAYA1-8B—Not directly comparable
Codeforces
DeepSeek V4 Pro (High)2919.0SourceZAYA1-8B—Not directly comparable
SWE-bench Verified
DeepSeek V4 Pro (High)79.4%SourceZAYA1-8B—Not directly comparable
SWE-bench Pro
DeepSeek V4 Pro (High)54.4%SourceZAYA1-8B—Not directly comparable
SWE Multilingual
DeepSeek V4 Pro (High)74.1%SourceZAYA1-8B—Not directly comparable
Terminal-Bench 2.0
DeepSeek V4 Pro (High)63.3%SourceZAYA1-8B—Not directly comparable
LiveCodeBench v6
DeepSeek V4 Pro (High)—ZAYA1-8B65.8%SourceNot directly comparable
Reasoning
Knowledge
MMLU-Pro
DeepSeek V4 Pro (High)87.1%SourceZAYA1-8B74.2%SourceDeepSeek V4 Pro (High) leads this result
SimpleQA
DeepSeek V4 Pro (High)46.2%SourceZAYA1-8B—Not directly comparable
Chinese-SimpleQA
DeepSeek V4 Pro (High)77.7%SourceZAYA1-8B—Not directly comparable
GPQA
DeepSeek V4 Pro (High)89.1%SourceZAYA1-8B71%SourceDeepSeek V4 Pro (High) leads this result
GPQA-D
DeepSeek V4 Pro (High)89.1%SourceZAYA1-8B71.0%SourceDeepSeek V4 Pro (High) leads this result
HLE
DeepSeek V4 Pro (High)34.5%SourceZAYA1-8B—Not directly comparable
Math
HMMT Feb 2026
DeepSeek V4 Pro (High)94.0%SourceZAYA1-8B71.6%SourceDeepSeek V4 Pro (High) leads this result
IMOAnswerBench
DeepSeek V4 Pro (High)88.0%SourceZAYA1-8B59.3%SourceDeepSeek V4 Pro (High) leads this result
Apex
DeepSeek V4 Pro (High)27.4%SourceZAYA1-8B32.2%SourceZAYA1-8B leads this result
Apex Shortlist
DeepSeek V4 Pro (High)85.5%SourceZAYA1-8B—Not directly comparable
AIME26
DeepSeek V4 Pro (High)—ZAYA1-8B89.1%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, DeepSeek V4 Pro (High) or ZAYA1-8B?
DeepSeek V4 Pro (High) has the higher public score, 55.41 versus 31.58, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, DeepSeek V4 Pro (High) or ZAYA1-8B?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, DeepSeek V4 Pro (High) or ZAYA1-8B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, DeepSeek V4 Pro (High) or ZAYA1-8B?
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, DeepSeek V4 Pro (High) or ZAYA1-8B?
DeepSeek V4 Pro (High) has the larger documented context window: 1M, compared with 131K.
Related comparisons
Last updated August 5, 2026
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