Agentic
Not comparable- GPT-5.6 Sol
- 70.1
- Supported · #6/152
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- BenchAlign lane · 8 vs 0 public rows
- Reading
- Not comparable
GPT-5.6 Sol vs VibeVoice-ASR-Streaming 7B
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 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
VibeVoice-ASR-Streaming 7B is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
VibeVoice-ASR-Streaming 7B is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
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
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.
35 GPT-5.6 Sol only
- Shared results
- 0
- GPT-5.6 Sol only
- 35
- VibeVoice-ASR-Streaming 7B only
- 0
- Like-for-like categories
- 0 / 8
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
Not comparable- GPT-5.6 Sol
- 74.5
- Supported · #5/151
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- BenchAlign lane · 11 vs 0 public rows
- Reading
- Not comparable
Reasoning
Not comparable- GPT-5.6 Sol
- 70.4
- #12/20
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- GPT-5.6 Sol
- 80.5
- Supported · #5/183
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- BenchAlign lane · 8 vs 0 public rows
- Reading
- Not comparable
Math
Not comparable- GPT-5.6 Sol
- 97.0
- Unranked · 3 rankable rows
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-5.6 Sol
- Not ranked
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-5.6 Sol
- 87.5
- #4/48
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- GPT-5.6 Sol
- 89.1
- #27/123
- VibeVoice-ASR-Streaming 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | GPT-5.6 Sol | VibeVoice-ASR-Streaming 7B | Basis | Reading |
|---|---|---|---|---|
| Agentic | 70.1Supported · #6/152 | Not ranked | Not comparableBenchAlign lane · 8 vs 0 public rows | Not comparable |
| Coding | 74.5Supported · #5/151 | Not ranked | Not comparableBenchAlign lane · 11 vs 0 public rows | Not comparable |
| Reasoning | 70.4#12/20 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Knowledge | 80.5Supported · #5/183 | Not ranked | Not comparableBenchAlign lane · 8 vs 0 public rows | Not comparable |
| Math | 97.0Unranked · 3 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 87.5#4/48 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Instruction following | 89.1#27/123 | 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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
- GPT-5.6 Sol
- $0.02
- Fits in one request
- VibeVoice-ASR-Streaming 7B
- API rate not published
- Fit state unavailable
VibeVoice-ASR-Streaming 7B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- GPT-5.6 Sol
- $0.34
- Fits in one request
- VibeVoice-ASR-Streaming 7B
- API rate not published
- Fit state unavailable
VibeVoice-ASR-Streaming 7B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- GPT-5.6 Sol
- $0.5
- Fits in one request
- VibeVoice-ASR-Streaming 7B
- API rate not published
- Fit state unavailable
- Cached-input rate unavailable
VibeVoice-ASR-Streaming 7B 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.
SpecificationGPT-5.6 SolVibeVoice-ASR-Streaming 7B
Context window
Maximum documented context; output-token limits may be lower.
GPT-5.6 Sol
1.05M
OpenAI model catalogVibeVoice-ASR-Streaming 7B
N/A
API model ID
GPT-5.6 Sol
gpt-5.6-sol
OpenAI model catalogVibeVoice-ASR-Streaming 7B
microsoft/VibeVoice-ASR-Streaming-7B
Microsoft model documentationCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
GPT-5.6 Sol
$0.5 per 1M cached input tokens
OpenAI pricingVibeVoice-ASR-Streaming 7B
No comparable hosted API rate
Microsoft model documentationDocumented inputs
GPT-5.6 Sol
text, image
OpenAI model catalogVibeVoice-ASR-Streaming 7B
Not sourced
Documented outputs
GPT-5.6 Sol
VibeVoice-ASR-Streaming 7B
Not sourced
Provider availability
GPT-5.6 Sol
Generally Available · OpenAI Responses API
OpenAI model catalogVibeVoice-ASR-Streaming 7B
Not sourced
Reasoning profile
GPT-5.6 Sol
Reasoning
VibeVoice-ASR-Streaming 7B
Non-Reasoning
Weight access
GPT-5.6 Sol
Proprietary
VibeVoice-ASR-Streaming 7B
Open Weight
License
GPT-5.6 Sol
Proprietary
VibeVoice-ASR-Streaming 7B
Open Weight
Release date
GPT-5.6 Sol
2026-07-09
VibeVoice-ASR-Streaming 7B
2026-09-02
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
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- A complete documented context comparison is not available.
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 evidence35 rows
Agentic
Terminal-Bench 3.0
GPT-5.6 Sol34.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Terminal-Bench 2.0
GPT-5.6 Sol91.9%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
BrowseComp
GPT-5.6 Sol92.2%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
OSWorld 2.0
GPT-5.6 Sol62.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
CyberGym
GPT-5.6 Sol84.5%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
ExploitGym
GPT-5.6 Sol33.7%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Toolathlon
GPT-5.6 Sol58%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Terminal-Bench 2.1 (Vals)
GPT-5.6 Sol85.8%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Coding
Bug Hunt Bench
GPT-5.6 Sol42 fixesSourceVibeVoice-ASR-Streaming 7B—Not directly comparable
SWE-bench Pro
GPT-5.6 Sol64.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Terminal-Bench 2.0
GPT-5.6 Sol91.9%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
DeepSWE
GPT-5.6 Sol72.7%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
FrontierCode 1.1 Extended
GPT-5.6 Sol60.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
FrontierSWE v2
GPT-5.6 Sol32.2%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
cursorBench32
GPT-5.6 Sol67.2%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
VulcanBench v3
GPT-5.6 Sol87.0%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
VulcanBench CII v1
GPT-5.6 Sol86.5%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
LiveCodeBench (Vals)
GPT-5.6 Sol82.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
SWE-bench (Vals)
GPT-5.6 Sol96.2%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Reasoning
Knowledge
GPQA
GPT-5.6 Sol94.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
GPQA-D
GPT-5.6 Sol94.6%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
HLE-Verified
GPT-5.6 Sol54.5%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
LABBench2
GPT-5.6 Sol82.1%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
HealthBench Professional
GPT-5.6 Sol60.5%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
HealthBench Hard
GPT-5.6 Sol33.1%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
GPQA Diamond (Vals)
GPT-5.6 Sol95.2%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
MMLU-Pro (Vals)
GPT-5.6 Sol89.1%SourceVibeVoice-ASR-Streaming 7B—Not directly comparable
Math
Multimodal
Frequently asked questions
Which is better, GPT-5.6 Sol or VibeVoice-ASR-Streaming 7B?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, GPT-5.6 Sol or VibeVoice-ASR-Streaming 7B?
VibeVoice-ASR-Streaming 7B is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, GPT-5.6 Sol or VibeVoice-ASR-Streaming 7B?
VibeVoice-ASR-Streaming 7B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, GPT-5.6 Sol or VibeVoice-ASR-Streaming 7B?
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, GPT-5.6 Sol or VibeVoice-ASR-Streaming 7B?
A complete documented context-window comparison is not available.
Related comparisons
Last updated September 10, 2026
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