This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

DeepSeek has launched a newer release, DeepSeek V3.2. We suggest considering it instead.

DeepSeek

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DeepSeek V3.2 Exp

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Open weights model

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Released September 2025

DeepSeek V3.2 Exp (Reasoning) API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of DeepSeek V3.2 Exp (Reasoning) for your use-case.

Fastest

Output speed

Total 1 provider

Lowest Latency

Time to first answer token

Total 1 provider

Lowest Price

DeepSeek

$0.12

Blended price (per 1M tokens)

Total 1 provider

DeepSeek V3.2 Exp is available through DeepSeek.

Benchmarks of providers are not available for this model.

Please see the models page for DeepSeek V3.2 Exp (Reasoning) for details of the model and its intelligence compared to other models.

Speed

Output tokens per second · Higher is better

No data available

Latency

Seconds to first answer token received · Lower is better

No data available

Price

USD per 1M tokens (blended) · Lower is better

Pricing

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Pricing: Cache Discount

1 - (cache hit price / input price) · Higher is better

Reduction in input token cost due to cache hit relative to input price. Formula: 1 - (Cache Hit Price per Token / Input Token Price). Note that this discount figure does not account for all costs associated with cache hits, such as cache write and storage costs.

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)

Most attractive quadrant

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Speed

Measured by Output Speed (tokens per second)

Output Speed: DeepSeek V3.2 Exp (Reasoning)

Output speed: output tokens per second · 10,000 input tokens

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API or the median across providers where a first-party API is not available.

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens

Most attractive quadrant

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latency

Measured by Time (seconds) to First Token

Time to First Answer Token: DeepSeek V3.2 Exp Providers

Seconds to first token received · Lower is better · 10,000 input tokens

No data available

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time: DeepSeek V3.2 Exp Providers

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

No data available

Seconds to receive a 500 token response. Key components:

Input time: Time to receive the first response token
Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
Answer time: Time to generate 500 output tokens, based on output speed

Key Comparison Metrics & API Features



DeepSeek	128k			Open	--	--	--	--	--

Frequently Asked Questions

Common questions about DeepSeek V3.2 Exp (Reasoning) providers

DeepSeek V3.2 Exp (Reasoning) is available through 1 API provider: DeepSeek. Each provider offers different performance characteristics and pricing.

DeepSeek V3.2 Exp (Reasoning) is currently available through 1 API provider that we benchmark and track.

The most affordable provider for DeepSeek V3.2 Exp (Reasoning) by blended price is DeepSeek ($0.12 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.

The provider with the lowest input token pricing for DeepSeek V3.2 Exp (Reasoning) is DeepSeek ($0.28 per 1M input tokens).

The provider with the lowest output token pricing for DeepSeek V3.2 Exp (Reasoning) is DeepSeek ($0.42 per 1M output tokens).

The only provider of DeepSeek V3.2 Exp (Reasoning) supports JSON mode for structured output.

The only provider of DeepSeek V3.2 Exp (Reasoning) supports function calling (tool use).

When choosing a provider for DeepSeek V3.2 Exp (Reasoning), consider: output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.

Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.

For information about DeepSeek V3.2 Exp (Reasoning)'s intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview

DeepSeek V3.2 Exp (Reasoning) API Provider Benchmarking & Analysis

Fastest

Lowest Latency

Lowest Price

Speed

Latency

Price

Pricing

Pricing: Cache Hit, Input, and Output

Cache Hit

Pricing: Blended Price

Price

Pricing: Cache Discount

Cache Price Discount

Output Speed vs. Price

Output Speed

Speed

Output Speed: DeepSeek V3.2 Exp (Reasoning)

Output Speed

Model Performance Representation

Latency vs. Output Speed

Output Speed

Latency

Time to First Answer Token: DeepSeek V3.2 Exp Providers

Time to First Answer Token

Median

End-to-End Response Time

End-to-End Response Time: DeepSeek V3.2 Exp Providers

End-to-End Response Time

Key Comparison Metrics & API Features

Frequently Asked Questions

Where can I access DeepSeek V3.2 Exp (Reasoning)?

How many API providers offer DeepSeek V3.2 Exp (Reasoning)?

Which provider is cheapest for DeepSeek V3.2 Exp (Reasoning)?

Which provider has the lowest input price for DeepSeek V3.2 Exp (Reasoning)?

Which provider has the lowest output price for DeepSeek V3.2 Exp (Reasoning)?

Which DeepSeek V3.2 Exp (Reasoning) providers support JSON mode?

Which DeepSeek V3.2 Exp (Reasoning) providers support function calling?

How do I choose a provider for DeepSeek V3.2 Exp (Reasoning)?

Does provider performance for DeepSeek V3.2 Exp (Reasoning) change over time?

What are the overall capabilities of DeepSeek V3.2 Exp (Reasoning)?