DeepSeek

DeepSeek V3 0324

Tool callingStructured output
DeepSeek V3 0324 launch post cover
Context
164K
Released
1y ago
Parameters
—
Input / 1M tokens
$0.29
Output / 1M tokens
$1.14
Cached input / 1M tokens
$0.11

Sources:OpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
GPQA diamond
67.6%
Epoch AI · DeepSeek-V3-0324
Epoch AI evaluation
OTIS Mock AIME 2024-2025
37.8%
Epoch AI · DeepSeek-V3-0324
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Developer
DeepSeek
Model family
DeepSeek
Type
Language model
Predecessor
—
Successor
—
Released
March 24, 2025
Model ID
deepseek/deepseek-chat-v3-0324
Openness
Open weights
License
—
Parameters
—
Input modalities
text
Output modalities
text
Modality
text->text
Tokenizer
DeepSeek
Max output tokens
115K
Knowledge cutoff
2024-07-31
Source freshness
Endpoints synced Oct 15, 2026, 1:08 PM UTC

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
SiliconFlowsiliconflow/fp8164K$0.25$1.00——100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

GMICloudgmicloud/fp8128K$0.29$1.14$0.11—99.79%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

Can I run this?

Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.

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