Models

DeepSeek V3.2 vs GPT 5.6 Luna

Compare DeepSeek V3.2 from DeepSeek and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

DeepSeekDeepSeek V3.2OpenAIGPT 5.6 Luna
DeepSeek logo
DeepSeek V3.2
DeepSeek · text → text

DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.

Input$0.302 /M
Output$0.453 /M
Cache read$0.0302 /M
OpenAI logo
GPT 5.6 Luna
OpenAI · text, image → text

GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.

Input$0.2 /M
Output$1.2 /M
Cache read$0.02 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

DeepSeek V3.2
GPT 5.6 Luna
Input /M
$0.302
$0.2
Output /M
$0.453
$1.2
Cache read /M
$0.0302
$0.02
Context length
163,840
1,050,000
Max output
64,000
128,000
Time to First Token
0.7 s
5.0 s
Throughput
38.0 tok/s
47.2 tok/s
Modalities
text
textimage
Supported Parameters
toolsfunction callingstructured outputsthinking
toolsthinkingstructured outputs
API Formats
chat_completions · responses
Released
December 1, 2025
July 9, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

deepseek-v3.2gpt-5.6-luna

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

deepseek-v3.2gpt-5.6-luna

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

DeepSeek V3.2
$24.92 /mo
GPT 5.6 Luna
$30.00 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: DeepSeek V3.2, GPT 5.6 Luna?

DeepSeek V3.2: $0.453/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

DeepSeek V3.2: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

DeepSeek V3.2 accepts 163,840 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 64,000 tokens on DeepSeek V3.2 and 128,000 tokens on GPT 5.6 Luna.

Which one generates tokens faster?

GPT 5.6 Luna at 47.2 tok/s and DeepSeek V3.2 at 38.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V3.2 accepts text input and supports tool calling, function calling, structured outputs and thinking; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.

Can I call DeepSeek V3.2 and GPT 5.6 Luna with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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