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Data

Data as of November 13, 2026 · How the score is built

DeepSeek V3 0324

EstablishedOpen WeightNon-Reasoning

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Decision readingDeepSeek V3 0324 scores 35.9 out of 100 and ranks #152 of 215. This profile shows 1 source-displayable benchmark rows; its strongest eligible category is Multilingual at #15. No comparable first-party API price is published in the catalog.

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Find alternativesCompare DeepSeek V3 0324

Capability

35.9/100

field median 49.4#152 of 215 ranked models

Public

#152of 215

Verified #71 of 81

Price

API rate not published

input median $0.60No comparable first-party hosted token rate

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

128Ktokens

field median 256,000Maximum output length is tracked separately

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Decision snapshot

Where this model sits in the ranked field, its strongest published evidence, and what to validate before choosing it. The marker compares it with the current ranked catalog, not with an absolute quality threshold.

Strongest published evidence

Multilingual ranks #15. A well-rounded choice across a range of tasks.

Validate before choosing

1 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 1 displayable benchmark row

Is DeepSeek V3 0324 right for your job?

Its place on the LLM Selector’s job rankings, the same order the job pages publish. Describe your own job to see where it stands for that.

Where DeepSeek V3 0324 ranks by benchmark score:

Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.

We keep what you type here, drafts included, for 180 days, and after that only the job and requirements read from it. Nothing is tied to your IP address or account. Leave out names and other personal details. Privacy

Category 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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measured
Not measured
CodingWeight 20%0 benchmarksNot measured
Not measured
ReasoningRank #132 of 160Percentile 18thWeight 17%Not listedUnlisted sources
26.1
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank #143 of 180Percentile 21stWeight 12%Not listedUnlisted sources
33.0
MultilingualRank #15 of 17Percentile 13thWeight 7%1 benchmarkVerified
55.5
Inst. FollowingRank #107 of 157Percentile 32ndWeight 5%Not listedUnlisted sources
47.7
MathWeight 5%0 benchmarksNot measured
Not measured

1 of 919 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How 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.

  1. AgenticNot measured
  2. CodingNot measured
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. KnowledgeNot measured
  6. Multilingual1/1 verified
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

Capability shape

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 V3 0324 category percentile values

  • AgenticNot eligible
  • CodingNot eligible
  • Reasoning18th percentile
  • MultimodalNot eligible
  • Knowledge21st percentile
  • Multilingual13th percentile
  • Instruction following32nd percentile
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. AgenticNot ranked
  2. CodingNot ranked
  3. Reasoning#132/160
  4. MultimodalNot ranked
  5. Knowledge#143/180
  6. Multilingual#15/17
  7. Inst. Following#107/157
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Every result says who ran the test. Multilingual opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.

Overall rank
#152
of 215 on the leaderboard
Lab-reported
0
None
Run by a benchmark
1
The benchmark’s own run
Independent runs
0
None yet
Multilingual1 row
Multilingual benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
MMLU-ProX70.5%

Best verified: Qwen3.7 Max · 87%

Gap16.5 behindRun by MMLU-ProX
MMLU-ProX authors: EMNLP 2025 full 29-language results, Table 6
CountsWeighted 100%

Every bar is benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.

How we label sourcesAll 1 rows

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.

  1. Dec 26, 2024

    DeepSeek V3

    Score 31.5 · $0.27 / $1.1

  2. Mar 24, 2025 · you are here

    DeepSeek V3 0324

    Score 35.9 · Price not listed

snapshot · V3 0324

DeepSeek V3DeepSeek V3 · 31.5

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
Not publishedDeepSeek API changelog
Context window
128KDeepSeek API changelog
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
textDeepSeek-V3-0324 model card
Output modalities
textDeepSeek-V3-0324 model card
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordDeepSeek API changelog
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.

DeepSeek V3 0324 ranks #152 of 215 on the public leaderboard with a score of 35.9/100. Its source-verified position is #71 of 81.

DeepSeek V3 0324 is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.

DeepSeek V3 0324 sits in the DeepSeek family with DeepSeek V3. Its explicit predecessor is DeepSeek V3. 1 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multilingual at #15, while its lowest eligible position is Knowledge at #143. a well-rounded choice across a range of tasks.

Last updated November 13, 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.

Where to run DeepSeek V3 0324 by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on November 11, 2026.

Inference hosts for DeepSeek V3 0324 with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$0.29$1.14$0.11164K
Compare inference hosts

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 parameters

Questions

How does DeepSeek V3 0324 perform overall in AI benchmarks?

DeepSeek V3 0324 ranks #152 out of 215 models on the public BenchAlign leaderboard, with a score of 35.9/100. Its evidence status is Supported, and this profile shows 1 source-displayable benchmark row. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is DeepSeek V3 0324 good for multilingual tasks?

DeepSeek V3 0324 ranks #15 out of 17 eligible models for multilingual tasks, with a public category score of 55.5/100. 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.

Is DeepSeek V3 0324 open source?

DeepSeek V3 0324 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.

Which sibling models are related to DeepSeek V3 0324?

DeepSeek V3 0324 belongs to the DeepSeek family. Related tracked variants include DeepSeek V3. 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.

Does DeepSeek V3 0324 have full benchmark coverage on BenchLM?

No. DeepSeek V3 0324 currently has 13 source-displayable rows. 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 V3 0324?

DeepSeek V3 0324 has a documented context window of 128K. 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.

Compare DeepSeek V3 0324 with every tracked model1032 comparisons