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Model profile

DeepSeek V4 Flash

DeepSeekCurrentReleased Apr 24, 2026
Data verified
Overall Score
58.88Public #61 of 200
Arena Elo
1436
Eligible category ranks
3of 8
Price (1M tokens)
$0.14 in / $0.28 out
API pricing
Speed
Not listed
Context
1M

Evidence coverage

22 of 323 tracked benchmarks are published. 21 are verified and 1 provisional. 6 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
22 / 323
Verified
21
Provisional
1
Categories with evidence
6 / 8

Evidence by category

  • Agentic5 benchmarks
    Verified
  • Coding4 benchmarks
    Verified
  • Reasoning2 benchmarks
    Verified
  • Knowledge6 benchmarks
    Verified
  • Math4 benchmarks
    Verified
  • Multilingual0 benchmarks
    Not measured
  • Multimodal1 benchmark
    Reported
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostNon-Reasoning
Confidence:
Medium
flash

DeepSeek V4 Flash ranks #61 out of 200 models on the public leaderboard with an overall score of 58.88/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

DeepSeek V4 Flash is a open weight model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

DeepSeek V4 Flash sits inside the DeepSeek V4 family alongside DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Flash (Max), DeepSeek V4 Flash (High), DeepSeek V4 Pro, DeepSeek V4 Pro Base, DeepSeek V4 Flash Base. This profile currently has 22 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Knowledge (#52), while its weakest is Agentic (#104). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 58.4359.1

  1. GPT-5.2-Codex
    OpenAI
    #5859.1
    GPT-5.2-Codex is #58 with a score of 59.1.
    Compare
  2. GPT-5.2 Instant
    OpenAI
    #5959.0
    GPT-5.2 Instant is #59 with a score of 59.0.
    Compare
  3. GPT-5.3 Instant
    OpenAI
    #6058.9
    GPT-5.3 Instant is #60 with a score of 58.9.
    Compare
  4. DeepSeek V4 FlashCurrent model
    DeepSeek
    #6158.88
    DeepSeek V4 Flash is #61 with a score of 58.88.
  5. MiMo-V2.5
    Xiaomi
    #6258.62
    MiMo-V2.5 is #62 with a score of 58.62.
    Compare
  6. GPT-5 (high)
    OpenAI
    #6358.61
    GPT-5 (high) is #63 with a score of 58.61.
    Compare
  7. GPT-5.2
    OpenAI
    #6458.43
    GPT-5.2 is #64 with a score of 58.43.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Knowledge0%
    Eligible cohort rank #52 of 52Category score 34.4
  2. Coding34%
    Eligible cohort rank #81 of 122Category score 47.1
  3. Agentic13%
    Eligible cohort rank #104 of 119Category score 36.4

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #104 of 119Percentile 13thWeight 22%5 benchmarksVerified36.4
CodingRank #81 of 122Percentile 34thWeight 20%4 benchmarksVerified47.1
ReasoningWeight 17%2 benchmarksVerifiedScore pending
KnowledgeRank #52 of 52Percentile 0thWeight 12%6 benchmarksVerified34.4
MathRank Not rankedWeight 5%4 benchmarksVerified27.2
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%1 benchmarkReportedScore pending
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1436±4.344,220
Coding1482±6.712,913
Math1426±12.92,264
Instruction Following1429±6.314,858
Creative Writing1409±8.27,053
Multi-turn1453±7.87,966
Hard Prompts1459±5.129,248
Hard Prompts (English)1463±6.414,021
Longer Query1450±6.019,160

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic5 benchmarks
Terminal-Bench 2.0Provider exact
49.1%Weighted 38%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
MCP AtlasProvider exact
64%Display only
Source: DeepSeek-V4 technical reportProvenance: DeepSeek labels this row MCPAtlas Public in Table 7; BenchLM stores it on the existing mcpAtlas key.
ToolathlonProvider exact
40.7%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Claw-EvalBenchmark exact
57.8%Display only
Source: Claw-Eval leaderboardProvenance: Claw-Eval reports this model as deepseek_v4_flash in the official 2026-05-09 leaderboard snapshot. BenchLM stores the primary Pass^3 value on the local Claw-Eval display key.
Gert LabsBenchmark exact

Gert Labs Composite Game Benchmark

54.35%Display only
Source: Gert Labs rankingsProvenance: Gert Labs reports this composite leaderboard score in the public rankings API. BenchLM scales the source gscore from 0-1 to 0-100 and stores it as a display-only agentic benchmark.
Coding4 benchmarks
SWE-bench VerifiedProvider exact

Software Engineering Benchmark Verified

73.7%Weighted 16%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
SWE-bench ProProvider exact
49.1%Weighted 10%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
SWE MultilingualProvider exact
69.7%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Terminal-Bench 2.0Provider exact
49.1%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Reasoning2 benchmarks
MRCR 1MProvider exact
37.5%Display only
Source: DeepSeek-V4 technical reportProvenance: DeepSeek reports MRCR 1M in Table 7. BenchLM stores this as a display-only long-context row distinct from existing MRCRv2 keys.
CorpusQA 1MProvider exact
15.5%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Knowledge6 benchmarks
HLEProvider exact

Humanity's Last Exam

8.1%Weighted 45%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
MMLU-ProProvider exact

Massive Multitask Language Understanding Professional

83%Weighted 30%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
SimpleQAProvider exact

Measuring Short-Form Factuality in Large Language Models

23.1%Weighted 11%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
GPQAProvider exact

Graduate-Level Google-Proof Q&A

71.2%Weighted 7%
Source: DeepSeek-V4 technical reportProvenance: DeepSeek reports GPQA Diamond in Tables 1/7. BenchLM maps Table 7 GPQA Diamond values into both gpqa and gpqaDiamond for comparison consistency.
Chinese-SimpleQAProvider exact
71.5%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
GPQA-DProvider exact

GPQA Diamond

71.2%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Math4 benchmarks
HMMT Feb 2026Provider exact

Harvard-MIT Mathematics Tournament February 2026

40.8%Weighted 25%
Source: DeepSeek-V4 technical reportProvenance: Provider exact
IMOAnswerBenchProvider exact
41.9%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
ApexProvider exact
1.0%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Apex ShortlistProvider exact
9.3%Display only
Source: DeepSeek-V4 technical reportProvenance: Provider exact
Multimodal1 benchmark
Design Arena WebsiteReported

Design Arena Website Elo

1238Display only
Source: OpenRouter model benchmarksProvenance: Display-only Design Arena Website Elo synced from OpenRouter model benchmark metadata. It is excluded from BenchLM weighted scoring.

Frequently Asked Questions

How does DeepSeek V4 Flash perform overall in AI benchmarks?

DeepSeek V4 Flash has 22 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is DeepSeek V4 Flash good for knowledge and understanding?

DeepSeek V4 Flash ranks #52 out of 52 models in knowledge and understanding benchmarks with an average score of 34.4. There are stronger options in this category.

Is DeepSeek V4 Flash good for coding and programming?

DeepSeek V4 Flash ranks #81 out of 122 models in coding and programming benchmarks with an average score of 47.1. There are stronger options in this category.

Is DeepSeek V4 Flash good for mathematics?

DeepSeek V4 Flash has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is DeepSeek V4 Flash good for reasoning and logic?

DeepSeek V4 Flash has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is DeepSeek V4 Flash good for agentic tool use and computer tasks?

DeepSeek V4 Flash ranks #104 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 36.4. There are stronger options in this category.

Is DeepSeek V4 Flash good for multimodal and grounded tasks?

DeepSeek V4 Flash has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is DeepSeek V4 Flash open source?

Yes, DeepSeek V4 Flash is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to DeepSeek V4 Flash?

DeepSeek V4 Flash belongs to the DeepSeek V4 family. Related variants on BenchLM include DeepSeek V4 Pro (Max), DeepSeek V4 Pro (High), DeepSeek V4 Flash (Max), DeepSeek V4 Flash (High), DeepSeek V4 Pro, DeepSeek V4 Pro Base, DeepSeek V4 Flash Base.

Does DeepSeek V4 Flash have full benchmark coverage on BenchLM?

Not yet. DeepSeek V4 Flash currently has 22 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of DeepSeek V4 Flash?

DeepSeek V4 Flash has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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