DeepSeek-V4.1-Flash
by DeepSeek · ChinaThe smallest model in DeepSeek's new encoder-decoder architecture, with native image understanding and 8B active parameters for input, 16B for output. DeepSeek says it beats V4-Pro on performance, cost and speed, and is phasing V4-Pro out.
Specification
The numbers
- Maker
- DeepSeek
- Released
- 2026-09
- Parameters
- 552B
- Architecture
- MoE
- Context window
- 1,048,576 tokens
- Max output
- 393,216 tokens
- Input
- Text, Image
- Output
- Text
- Reasoning
- Not reported
- Tool calling
- Yes
- Knowledge cutoff
- Not reported
- Licence
- Not stated
- Availability
- Not reported
- Weights
- Not reported
API model ID: deepseek-flash
Cost
Price per million tokens
- Input
- $0.30 / M tokens
- Output
- $1.20 / M tokens
- Cached input
- $0.0060
- Blended 3:1
- $0.525
Standard first-party API rate, excluding batch discounts. Reasoning models bill thinking tokens as output, so cost per answer can far exceed the cost per token suggests.
Published scores
Benchmarks
Figures published by DeepSeek or taken from a public leaderboard. Row last checked 2026-10.
| Category | Score | Rank |
|---|---|---|
| ReasoningGPQA Diamond | 90.9% | 13 of 99 reporting the same tests |
| MathsCompetition mathematics, graded on the final answer | Not reported | — |
| CodingTerminal-Bench 2.1 | 90.6% | 1 of 12 reporting the same tests |
| KnowledgeBreadth of factual recall under exam conditions | Not reported | — |
| MultimodalReading charts, diagrams and photographs | Not reported | — |
| Instruction followingObeying an exact, checkable format | Not reported | — |
| Human preferenceWhich answer people pick, blind | Not reported | — |
A category averages every benchmark in it that DeepSeek-V4.1-Flash reports. The rank counts only models that report the same tests, so it never compares an average over three benchmarks against an average over one.
Every reported test
| MMLU-ProKnowledge | Not reported | No figure published |
|---|---|---|
| GPQA DiamondReasoning | Rank 13 of 99 models reporting | |
| AIME 2025Maths | Not reported | No figure published |
| MATH-500Maths | Not reported | No figure published |
| SWE-bench VerifiedCoding | Not reported | No figure published |
| SWE-bench ProCoding | Not reported | No figure published |
| Terminal-Bench 2.0Coding | Not reported | No figure published |
| Terminal-Bench 2.1Coding | Rank 1 of 12 models reporting | |
| Frontier-Bench v0.1Reasoning | Not reported | No figure published |
| Terminal-Bench 4.0Coding | Not reported | No figure published |
| LiveCodeBenchCoding | Not reported | No figure published |
| HumanEvalCoding | Not reported | No figure published |
| MMMUMultimodal | Not reported | No figure published |
| IFEvalInstruction following | Not reported | No figure published |
| LMArena EloHuman preference | Not reported | No figure published |
Where these numbers come from
Every score on this page is a published figure, taken from the model's own card, system card, technical report or release post, or from a public leaderboard. CorX Labs did not run these evaluations. Most are self-reported by the lab that built the model, which means they were produced under that lab's own choice of prompt, scaffold and number of attempts — so treat them as a starting point for a shortlist, not as a settled ranking.
A score someone other than the model's maker measured is marked Independent and names its measurer. Those are the stronger numbers on this page — an outside harness has no reason to flatter anyone — and there are not many of them.
Where a figure has not been published, the cell reads Not reported rather than an estimate. Nothing here is inferred, interpolated or guessed. Each model records the month its row was last checked. Full method and caveats.
Head to head
DeepSeek-V4.1-Flash compared
Same maker
Other models from DeepSeek
| DeepSeek-V4-ProDeepSeek | DeepSeek | 1M | — | — | — | — | — | — | MIT |
| DeepSeek-V3.2DeepSeek | DeepSeek | 164K | $0.280 | $0.42 | 85% | 79.9% | 89.3% | — | MIT |
| DeepSeek-V3.1DeepSeek | DeepSeek | 131K | $0.280 | $1.14 | 84.8% | 80.1% | 88.4% | 66% | MIT |
| DeepSeek-R1DeepSeek | DeepSeek | 131K | $0.550 | $2.19 | 84% | 71.5% | 79.8% | 49.2% | MIT |
| DeepSeek-R1-Distill-Qwen-32BDeepSeek | DeepSeek | 131K | $0.12 | $0.18 | — | 62.1% | 72.6% | — | MIT |
| DeepSeek-R1-Distill-Llama-8BDeepSeek | DeepSeek | 131K | $0.04 | $0.04 | — | — | 50.4% | — | MIT |
| DeepSeek-V3DeepSeek | DeepSeek | 131K | $0.27 | $1.10 | 75.9% | 59.1% | — | — | MIT |
| DeepSeek-Coder-V2DeepSeek | DeepSeek | 131K | $0.140 | $0.280 | 60% | — | — | — | DeepSeek License |