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Kimi K2.7 Code vs Seed-2.0-Mini

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2.7 Code and Seed-2.0-Mini.

Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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ByteDance

Seed-2.0-Mini

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

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Technical Specifications

SpecificationKimi K2.7 CodeSeed-2.0-Mini
ProviderMoonshot AIByteDance
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-06-122026-02-26

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.7 Code

$0.74

Seed-2.0-Mini

$0.10

Output Price per Million Tokens

Kimi K2.7 Code

$3.50

Seed-2.0-Mini

$0.40

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8500.0%vsN/A
Kimi K2.7 Code
Seed-2.0-Mini
HumanEvalPython coding & logic synthesis
9320.0%vsN/A
Kimi K2.7 Code
Seed-2.0-Mini
MATHComplex mathematical problem solving
7650.0%vsN/A
Kimi K2.7 Code
Seed-2.0-Mini
GPQAGraduate-level expert reasoning
4600.0%vsN/A
Kimi K2.7 Code
Seed-2.0-Mini
HellaSwagCommonsense reasoning and inference
8600.0%vsN/A
Kimi K2.7 Code
Seed-2.0-Mini
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
Kimi K2.7 Code
Seed-2.0-Mini

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.

Seed-2.0-Mini Quirks & Gotchas

No developer gotchas reported.