Models

ByteDance-Seed/Seed-OSS-36B-Instruct vs GPT 5.6 Luna

Compare ByteDance-Seed/Seed-OSS-36B-Instruct from ByteDance 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.

ByteDanceByteDance-Seed/Seed-OSS-36B-InstructOpenAIGPT 5.6 Luna
ByteDance logo
ByteDance-Seed/Seed-OSS-36B-Instruct
ByteDance · text, image → text

Seed-OSS is a series of open-source large language models developed by ByteDance's Seed team, designed specifically for powerful long-context processing, reasoning, agents, and general capabilities. Among this series, Seed-OSS-36B-Instruct is an instruction-tuned model with 36 billion parameters that natively supports ultra-long context lengths, enabling it to process massive documents or complex codebases in a single pass. This model is specially optimized for reasoning, code generation, and agent tasks (such as tool usage), while maintaining balanced and excellent general capabilities. A notable feature of this model is the "Thinking Budget" functionality, which allows users to flexibly adjust the inference length as needed, thereby effectively improving inference efficiency in practical applications.

Input$0.2 /M
Output$0.534 /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.

ByteDance-Seed/Seed-OSS-36B-Instruct
GPT 5.6 Luna
Input /M
$0.2
$0.2
Output /M
$0.534
$1.2
Cache read /M
-
$0.02
Context length
256,000
1,050,000
Max output
32,000
128,000
Time to First Token
0.6 s
5.1 s
Throughput
27.0 tok/s
47.6 tok/s
Modalities
textimage
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsthinkingstructured outputs
API Formats
chat_completions · responses
Released
-
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.

ByteDance-Seed/Seed-OSS-36B-Instructgpt-5.6-luna

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

ByteDance-Seed/Seed-OSS-36B-Instructgpt-5.6-luna

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

ByteDance-Seed/Seed-OSS-36B-Instruct
$20.01 /mo
GPT 5.6 Luna
$30.00 /mo

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

FAQ

Which is cheaper: ByteDance-Seed/Seed-OSS-36B-Instruct, GPT 5.6 Luna?

ByteDance-Seed/Seed-OSS-36B-Instruct: $0.534/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

ByteDance-Seed/Seed-OSS-36B-Instruct: 0.6s 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?

ByteDance-Seed/Seed-OSS-36B-Instruct accepts 256,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 32,000 tokens on ByteDance-Seed/Seed-OSS-36B-Instruct and 128,000 tokens on GPT 5.6 Luna.

Which one generates tokens faster?

GPT 5.6 Luna at 47.6 tok/s and ByteDance-Seed/Seed-OSS-36B-Instruct at 27.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

ByteDance-Seed/Seed-OSS-36B-Instruct accepts text and image input and supports thinking, tool calling, function calling and structured outputs; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.

Can I call ByteDance-Seed/Seed-OSS-36B-Instruct 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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