Capability
51.8/100
field median 57.2
#108 of 215 ranked models
Model profile · DeepSeek
Data as of July 28, 2026 · How the score is built
Knowledge ranks #42. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
23 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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
51.8/100
field median 57.2
#108 of 215 ranked models
Price
$0.14input / $0.28 output
input median $1
cached $0.003 · blended $0.21
Speed
Not measured
field median 107 tok/s
Time to first token not measured
Context
1Mtokens
field median 256,000
Maximum output length is tracked separately
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
DeepSeek V4 Flash (Max) category percentile values
The dashed outline is median of 6 nearest peers.
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
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 parametersScores 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 #51 of 129Percentile 61stWeight 22%5 benchmarksVerified | 49.0 | #51 of 129 | 61st | 22% | 5 benchmarks | Verified |
| CodingRank #54 of 130Percentile 59thWeight 20%6 benchmarksVerified | 51.4 | #54 of 130 | 59th | 20% | 6 benchmarks | Verified |
| ReasoningWeight 17%2 benchmarksVerified | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Verified |
| KnowledgeRank #42 of 55Percentile 24thWeight 12%6 benchmarksVerified | 60.1 | #42 of 55 | 24th | 12% | 6 benchmarks | Verified |
| MathRank Not rankedWeight 5%4 benchmarksVerified | 81.6 | Not ranked | Not available | 5% | 4 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score79% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap17 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score52.6% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap27.7 behind | WeightWeighted 10% | Provider exact |
| LiveCodeBench Pass@1-COTLiveCodeBench Pass@1 with Chain-of-Thought | Score91.6% | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 93.5% | Gap1.9 behind | WeightDisplay only | Provider exact |
| CodeforcesCodeforces Rating | Score3052.0 | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 3206.0 | Gap154 behind | WeightDisplay only | Provider exact |
| SWE Multilingual | Score73.3% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap16.2 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.0 | Score56.9% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap35 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score56.9% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap35 behind | WeightWeighted 38% | Provider exact |
| BrowseComp | Score73.2% | Versus best verified row Best verified: GPT-5.6 Sol · 92.2% | Gap19 behind | WeightWeighted 28% | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score45.1% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap19.6 behind | WeightDisplay only | Provider exact |
| MCP Atlas | Score69% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap19.1 behind | WeightDisplay only | Provider exact |
| Toolathlon | Score47.8% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap27.8 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCR 1M | Score78.7% | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 83.5% | Gap4.8 behind | WeightDisplay only | Provider exact |
| CorpusQA 1M | Score60.5% | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 62.0% | Gap1.5 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score34.8% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap29.9 behind | WeightWeighted 45% | Provider exact |
| MMLU-ProMassive Multitask Language Understanding Professional | Score86.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap3.4 behind | WeightWeighted 30% | Provider exact |
| SimpleQAMeasuring Short-Form Factuality in Large Language Models | Score34.1% | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 57.9% | Gap23.8 behind | WeightWeighted 11% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score88.1% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap7.4 behind | WeightWeighted 7% | Provider exact |
| Chinese-SimpleQA | Score78.9% | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 84.4% | Gap5.5 behind | WeightDisplay only | Provider exact |
| GPQA-DGPQA Diamond | Score88.1% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap7.4 behind | WeightDisplay only | Provider exact |
| 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: Qwen3.7 Max · 90.0% | Gap1.6 behind | WeightDisplay only | Provider exact |
| Apex | Score33.0% | Versus best verified row Best verified: Qwen3.7 Max · 44.5% | Gap11.5 behind | WeightDisplay only | Provider exact |
| Apex Shortlist | Score85.7% | Versus best verified row Best verified: DeepSeek V4 Pro (Max) · 90.2% | Gap4.5 behind | WeightDisplay only | Provider exact |
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 24, 2026 · you are here
DeepSeek V4 Flash (Max)Score 51.8 · $0.14 / $0.28
flash-reasoning · max
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
DeepSeek V4 Flash (Max) ranks #108 of 215 on the public leaderboard with a score of 51.76/100. It does not yet have enough sourced coverage for a verified position.
DeepSeek V4 Flash (Max) 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.
Official exact-value post-training snapshot from Table 7 of the DeepSeek-V4 technical report. This row maps the Max reasoning-effort column for DeepSeek V4 Flash.
DeepSeek V4 Flash (Max) sits in the DeepSeek V4 family with DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Pro, DeepSeek V4 Flash (High), DeepSeek V4 Pro Base, DeepSeek V4 Flash Base, DeepSeek V4 Flash. 23 of 369 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #42, while its lowest eligible position is Coding at #54. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
DeepSeek V4 Flash (Max) ranks #108 out of 215 models on the public BenchAlign leaderboard, with a score of 51.76/100. Its evidence status is Estimated, and this profile shows 23 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
DeepSeek V4 Flash (Max) ranks #42 out of 55 eligible models for knowledge and understanding, with a public category score of 60.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
DeepSeek V4 Flash (Max) ranks #54 out of 130 eligible models for coding and programming, with a public category score of 51.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
DeepSeek V4 Flash (Max) 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.
DeepSeek V4 Flash (Max) 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.
DeepSeek V4 Flash (Max) ranks #51 out of 129 eligible models for agentic tool use and computer tasks, with a public category score of 49/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
DeepSeek V4 Flash (Max) 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.
DeepSeek V4 Flash (Max) belongs to the DeepSeek V4 family. Related tracked variants include DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Pro, plus 4 more. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
No. DeepSeek V4 Flash (Max) currently has 47 source-displayable rows across 369 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.
DeepSeek V4 Flash (Max) 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.
Related resources
Last updated July 28, 2026. Runtime fields remain blank until a sourced snapshot exists.
The model to choose, the cheaper alternative, and the release we would wait on.