DeepSeek · Model release
Data as of September 27, 2026 · How the score is built
DeepSeek V4 Flash 0731
Decision readingDeepSeek V4 Flash 0731 is tracked, but not publicly ranked yet. The profile exposes 42 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Jul 31, 2026 — see all recent releases
DeepSeek V4 Flash 0731 will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
Unranked
field median 50.2Not eligible for a public rank
Price
$0.14input / $0.28 output
input median $0.97cached $0.003 · blended $0.21
Speed
221tok/s
field median 91 tok/sFirst token 10.17 s
Context
1Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
42 published rows leave some tracked benchmark slots empty.
Source-linked · 42 displayable benchmark rows
Follow model changesCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%11 benchmarksVerified | 52.0 | 11 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%15 benchmarksVerified | 50.8 | 15 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%4 benchmarksVerified | 57.0 | 4 benchmarks | Verified | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%8 benchmarksVerified | 61.3 | 8 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathRank Not rankedWeight 5%4 benchmarksVerified | 79.9 | 4 benchmarks | Verified |
42 of 486 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic11/11 verified
- Coding15/15 verified
- Reasoning4/4 verified
- MultimodalNot measured
- Knowledge8/8 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- Math4/4 verified
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding15 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score52.6% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap37.3 behind | Weight26% ref. weight | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score87.3% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap3.2 behind | Weight8% ref. weight | |
| SWE Multilingual | Score73.3% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap20.6 behind | Weight5% ref. weight | Provider exact |
| VulcanBench v3 | Score88.4% | Versus best verified row Best verified: Grok 4.5 · 89.9% | Gap1.5 behind | Weight3% ref. weight | Benchmark exact |
| Terminal-Bench 2.0 | Score56.9% | Versus best verified row Best verified: GPT-5.5 · 82.0% | Gap25.1 behind | WeightScored in Agentic | Provider exact |
| DeepSWE | Score54.4% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap21 behind | WeightDisplay only | Provider exact |
| LiveCodeBench Pass@1-COTLiveCodeBench Pass@1 with Chain-of-Thought | Score91.6% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 93.5% | Gap1.9 behind | WeightDisplay only | Provider exact |
| CodeforcesCodeforces Rating | Score3052.0 | Versus best verified row Best verified: DeepSeek V4.1 Flash · 3471.0 | Gap419 behind | WeightDisplay only | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score79% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap17 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1 | Score82.7% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap10.1 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score54.2% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 65.4% | Gap11.2 behind | WeightDisplay only | Provider exact |
| DSBench-FullStackDeepSeek DSBench FullStack | Score68.7% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 71.1% | Gap2.4 behind | WeightDisplay only | Provider exact |
| DSBench-HardDeepSeek DSBench Hard | Score59.6% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 67.2% | Gap7.6 behind | WeightDisplay only | Provider exact |
| OpenHarmony BenchOpenHarmony Bench v1.0 | Score53.8% | Versus best verified row Best verified: Qwen3.8 Max · 60.8% | Gap7 behind | WeightDisplay only | Benchmark exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score88.8% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap8.2 behind | WeightDisplay only | Verified |
Agentic11 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score73.2% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap19.3 behind | Weight8% ref. weight | Provider exact |
| Terminal-Bench 2.0 | Score56.9% | Versus best verified row Best verified: GPT-5.5 · 82% | Gap25.1 behind | Weight7% ref. weight | Provider exact |
| MCP Atlas | Score69% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap19.1 behind | Weight4% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score67.0% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap20.3 behind | Weight3% ref. weight | |
| HLE w/ toolsHumanity's Last Exam with tools | Score45.1% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap22.6 behind | Weight3% ref. weight | Provider exact |
| Toolathlon | Score47.8% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap27.8 behind | Weight3% ref. weight | Provider exact |
| Terminal-Bench 2.1 | Score82.7% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap10.1 behind | WeightDisplay only | Provider exact |
| AutomationBench | Score25.1% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap29.7 behind | WeightDisplay only | Provider exact |
| Toolathlon-Verified | Score70.3% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap10.3 behind | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score25.2% | Versus best verified row Best verified: GPT-6 Astra · 59.3% | Gap34.1 behind | WeightDisplay only | Provider exact |
| CyberGym | Score76.7% | Versus best verified row Best verified: MiMo-V2.6-Flash · 95.1% | Gap18.4 behind | WeightDisplay only | Provider exact |
Reasoning4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score61.4% | Versus best verified row Best verified: GPT-6 Astra · 95% | Gap33.6 behind | WeightWeighted 25% | Benchmark exact |
| MRCR 1M | Score78.7% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 83.5% | Gap4.8 behind | WeightDisplay only | Provider exact |
| CorpusQA 1M | Score60.5% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 62.0% | Gap1.5 behind | WeightDisplay only | Provider exact |
| ARC-AGI-1ARC-AGI-1 Semi-Private Evaluation | Score89.00% | Versus best verified row Best verified: GPT-6 Astra · 98.50% | Gap9.5 behind | WeightDisplay only | Benchmark exact |
Knowledge8 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score34.8% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap30.2 behind | Weight44% ref. weight | Provider exact |
| MMLU-ProMassive Multitask Language Understanding Professional | Score86.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap3.4 behind | Weight6% ref. weight | Provider exact |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score86.2% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap6.2 behind | Weight6% ref. weight | Verified |
| GPQAGraduate-Level Google-Proof Q&A | Score88.1% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap7.9 behind | Weight3% ref. weight | Provider exact |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score89.9% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap5.6 behind | Weight2% ref. weight | |
| SimpleQAMeasuring Short-Form Factuality in Large Language Models | Score34.1% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 57.9% | Gap23.8 behind | WeightDisplay only | Provider exact |
| Chinese-SimpleQA | Score78.9% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 84.4% | Gap5.5 behind | WeightDisplay only | Provider exact |
| GPQA-DGPQA Diamond | Score88.1% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap7.9 behind | WeightDisplay only | Provider exact |
Math4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026 | Score94.8% | Versus best verified row Best verified: Qwen3.7 Max · 97.1% | Gap2.3 behind | WeightWeighted 25% | Provider exact |
| IMOAnswerBench | Score88.4% | Versus best verified row Best verified: dots3-note Preview · 90.9% | Gap2.5 behind | WeightDisplay only | Provider exact |
| Apex | Score33.0% | Versus best verified row Best verified: Hy4 preview · 74.2% | Gap41.2 behind | WeightDisplay only | Provider exact |
| Apex Shortlist | Score85.7% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 90.2% | Gap4.5 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
flash-reasoning · 0731
DeepSeek V4 Flash 0731 release history
Radar confirmed these at the source. Use DeepSeek V4 Flash 0731 in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- deepseek-v4-flashDeepSeek-V4.1-Flash release
- Context window
- 1MDeepSeek models and pricing
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- textDeepSeek GitHub Copilot integration
- Output modalities
- textDeepSeek GitHub Copilot integration
- Parameters
- Not sourced yet
- Availability
- DeepSeek APIDeepSeek-V4.1-Flash release
- Cloud regions
- Not tracked yet
- Lifecycle
- supersededDeepSeek-V4.1-Flash release
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.003 per million cached input tokens
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track DeepSeek V4 Flash 0731, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
DeepSeek V4 Flash 0731 is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
The existing deepseek-v4-flash API ID now serves DeepSeek-V4-Flash-0731 in public beta. DeepSeek says it has the same architecture and size as Preview with new post-training. Checked again August 1: DeepSeek-V4-Flash-0731 weights are public on Hugging Face under the MIT License, so this row is Open Weight. The Hugging Face card lists 304B parameters because 0731 ships with the DSpark speculative-decoding module attached; the April Preview weights remain a separate checkpoint. Retired September 10, 2026: DeepSeek replaced V4 Flash with DeepSeek-V4.1-Flash, served as `deepseek-flash`. The legacy `deepseek-v4-flash` ID is still accepted but temporarily routes to V4.1 Flash and bills at the Flash rate.
Its explicit predecessor is DeepSeek V4 Flash 0731. 42 of 486 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated September 27, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does DeepSeek V4 Flash 0731 perform overall in AI benchmarks?
DeepSeek V4 Flash 0731 has 42 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is DeepSeek V4 Flash 0731 good for knowledge and understanding?
DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is DeepSeek V4 Flash 0731 good for coding and programming?
DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is DeepSeek V4 Flash 0731 good for mathematics?
DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is DeepSeek V4 Flash 0731 good for reasoning and logic?
DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is DeepSeek V4 Flash 0731 good for agentic tool use and computer tasks?
DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is DeepSeek V4 Flash 0731 open source?
DeepSeek V4 Flash 0731 is an open-weight model from DeepSeek. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Does DeepSeek V4 Flash 0731 have full benchmark coverage on BenchLM?
No. DeepSeek V4 Flash 0731 currently has 56 source-displayable rows across 486 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of DeepSeek V4 Flash 0731?
DeepSeek V4 Flash 0731 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.