SHARE THIS:

DeepSeek V4.1 Flash 1017 vs Muse Wonder

Detailed technical comparison between DeepSeek V4.1 Flash 1017 (DeepSeek) and Muse Wonder (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

DeepSeek V4.1 Flash 1017: 0 WinsvsMuse Wonder: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4.1 Flash 1017

$0.15 / MTok
DeepSeekactive

DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...

View DeepSeek V4.1 Flash 1017 Full Specs →
Metaactive

Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

View Muse Wonder Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek V4.1 Flash 1017Muse Wonder
ProviderDeepSeekMeta
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-172026-10-12

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4.1 Flash 1017

$0.15

Muse Wonder

$4.00

Output Price per Million Tokens

DeepSeek V4.1 Flash 1017

$0.60

Muse Wonder

$20.00

💡 Cost Ratio: DeepSeek V4.1 Flash 1017 is 26.7x cheaper per input token than Muse Wonder.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
74.4%vs79.2%+4.8% Muse Wonder
DeepSeek V4.1 Flash 1017
Muse Wonder 🏆
HumanEvalPython coding & logic synthesis
70.6%vs77.4%+6.8% Muse Wonder
DeepSeek V4.1 Flash 1017
Muse Wonder 🏆
MATHComplex mathematical problem solving
43.8%vs54.6%+10.8% Muse Wonder
DeepSeek V4.1 Flash 1017
Muse Wonder 🏆
GPQAGraduate-level expert reasoning
31.2%vs40.0%+8.8% Muse Wonder
DeepSeek V4.1 Flash 1017
Muse Wonder 🏆
HellaSwagCommonsense reasoning and inference
78.4%vs82.2%+3.8% Muse Wonder
DeepSeek V4.1 Flash 1017
Muse Wonder 🏆
MT-BenchMulti-turn conversation flow quality
8.1%vs8.5%+0.4% Muse Wonder
DeepSeek V4.1 Flash 1017
Muse Wonder 🏆

DeepSeek V4.1 Flash 1017 Quirks & Gotchas

No developer gotchas reported.

Muse Wonder Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons