Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Cartesia Sonic 3.5 is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Cartesia Sonic 3.5 vs DeepSeek V4.1 Flash 1017
Updated October 25, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Share or export
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.
- Shared results
- 0
- Cartesia Sonic 3.5 only
- 0
- DeepSeek V4.1 Flash 1017 only
- 33
- Like-for-like categories
- 0 / 8
Supported: DeepSeek V4.1 Flash 1017How the comparison works
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
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Cartesia Sonic 3.5 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedLong documents
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
Confidence: limitedChat 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-ratesCache-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-ratesRepository 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
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—Cartesia Sonic 3.561.1DeepSeek V4.1 Flash 1017
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
33 DeepSeek V4.1 Flash 1017 only
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.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 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.
Agentic
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- 61.7
- Supported · #24/132
- Basis
- BenchAlign v5.8 lane · 0 vs 11 public rows
- Reading
- Not comparable
Coding
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- 61.1
- Supported · #18/153
- Basis
- BenchAlign v5.8 lane · 0 vs 8 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- 82.5
- Unranked · 4 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- 78.8
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- 64.4
- Supported · #37/187
- Basis
- BenchAlign v5.8 lane · 0 vs 3 public rows
- Reading
- Not comparable
Multilingual
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Cartesia Sonic 3.5
- Not ranked
- DeepSeek V4.1 Flash 1017
- 70.1
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
| Category | Cartesia Sonic 3.5 | DeepSeek V4.1 Flash 1017 | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 61.7Supported · #24/132 | Not comparableBenchAlign v5.8 lane · 0 vs 11 public rows | Not comparable |
| Coding | Not ranked | 61.1Supported · #18/153 | Not comparableBenchAlign v5.8 lane · 0 vs 8 public rows | Not comparable |
| Reasoning | Not ranked | 82.5Unranked · 4 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 78.8Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | 64.4Supported · #37/187 | Not comparableBenchAlign v5.8 lane · 0 vs 3 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | 70.1Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Supported evidence per lane · bars run 0–100Methodology
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
- Cartesia Sonic 3.5
- API rate not published
- Fit state unavailable
- DeepSeek V4.1 Flash 1017
- $0.0009
- Fits in one request
Cartesia Sonic 3.5 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Cartesia Sonic 3.5
- API rate not published
- Fit state unavailable
- DeepSeek V4.1 Flash 1017
- $0.0186
- Fits in one request
Cartesia Sonic 3.5 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Cartesia Sonic 3.5
- API rate not published
- Fit state unavailable
- Cached-input rate unavailable
- DeepSeek V4.1 Flash 1017
- $0.0192
- Fits in one request
Cartesia Sonic 3.5 has no comparable published API token rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationCartesia Sonic 3.5DeepSeek V4.1 Flash 1017
Context window
Maximum documented context; output-token limits may be lower.
Cartesia Sonic 3.5
N/A
DeepSeek V4.1 Flash 1017
API model ID
Cartesia Sonic 3.5
Not sourced
DeepSeek V4.1 Flash 1017
deepseek-flash
DeepSeek models and pricingCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Cartesia Sonic 3.5
No comparable hosted API rate
DeepSeek V4.1 Flash 1017
$0.006 per 1M cached input tokens
DeepSeek: Models & PricingDocumented inputs
Cartesia Sonic 3.5
Not sourced
DeepSeek V4.1 Flash 1017
text, image
DeepSeek vision guideDocumented outputs
Cartesia Sonic 3.5
Not sourced
DeepSeek V4.1 Flash 1017
Provider availability
Cartesia Sonic 3.5
Not sourced
DeepSeek V4.1 Flash 1017
Generally Available · DeepSeek API, open weights
DeepSeek-V4.1-Flash-1017 API changelogReasoning profile
Cartesia Sonic 3.5
Non-Reasoning
DeepSeek V4.1 Flash 1017
Reasoning
Weight access
Cartesia Sonic 3.5
Proprietary
DeepSeek V4.1 Flash 1017
Open Weight
License
Cartesia Sonic 3.5
Proprietary
DeepSeek V4.1 Flash 1017
Open Weight
Release date
Cartesia Sonic 3.5
2026-05-04
DeepSeek V4.1 Flash 1017
2026-10-17
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.
Questions
Which is better, Cartesia Sonic 3.5 or DeepSeek V4.1 Flash 1017?
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, Cartesia Sonic 3.5 or DeepSeek V4.1 Flash 1017?
Cartesia Sonic 3.5 is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Cartesia Sonic 3.5 or DeepSeek V4.1 Flash 1017?
Cartesia Sonic 3.5 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Cartesia Sonic 3.5 or DeepSeek V4.1 Flash 1017?
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, Cartesia Sonic 3.5 or DeepSeek V4.1 Flash 1017?
A complete documented context-window comparison is not available.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Cartesia Sonic 3.5
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
DeepSeek V4.1 Flash 1017
API / mo$1,125
Self-host / mo$27,962
Break-even1.6B/day
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence33 rows
Agentic
Terminal-Bench 2.1
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101790.6%SourceNot directly comparable
terminalBench3
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101730%SourceNot directly comparable
Terminal-Bench 4.0
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101742.30%SourceNot directly comparable
CyberGym
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101788.1%SourceNot directly comparable
ExploitGym
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101715.3%SourceNot directly comparable
HLE w/ tools
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101763.9%SourceNot directly comparable
AutomationBench
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101760.5%SourceNot directly comparable
Agents' Last Exam
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101735.4%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101774.5%SourceNot directly comparable
CWE-bench v1
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101755.0%SourceNot directly comparable
MazeBench
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 10171%SourceNot directly comparable
Coding
Codeforces
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 10173471.0SourceNot directly comparable
Terminal-Bench 2.1
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101790.6%SourceNot directly comparable
terminalBench3
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101730%SourceNot directly comparable
DeepSWE
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101777.0%SourceNot directly comparable
ProgramBench
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101729.1%SourceNot directly comparable
NL2Repo
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101768.2%SourceNot directly comparable
OpenHarmony Bench
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101760.3%SourceNot directly comparable
Bug Hunt Bench
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101739.1 fixesSourceNot directly comparable
Reasoning
Multimodal
ExtractBench (LlamaIndex)
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101787.11%SourceNot directly comparable
ParseBench
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101764.56%SourceNot directly comparable
Chartography (tools)
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101783.0%SourceNot directly comparable
BabyVision w/ Python
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101792.5%SourceNot directly comparable
ZeroBench w/ Python
Cartesia Sonic 3.5—DeepSeek V4.1 Flash 101751.0%SourceNot directly comparable
Knowledge
Math
33 public results · 0 shared
Watch Cartesia Sonic 3.5 vs DeepSeek V4.1 Flash 1017
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 6,100+ subscribers.
Last updated October 25, 2026