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DeepSeek V4.1 Flash 1017 vs Auto Code

Detailed technical comparison between DeepSeek V4.1 Flash 1017 (DeepSeek) and Auto Code (OpenRouter). 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 WinsvsAuto Code: 6 Wins
Context Leader

Auto Code

2,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Tie

Equal Pricing
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 →
OpenRouteractive

Auto Code

Auto Code is OpenRouter’s router built specifically for coding agents and harnesses. It uses the same routing engine as the [Auto Router](https://openrouter.ai/openrouter/auto), with every request treated as part of an...

View Auto Code Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek V4.1 Flash 1017Auto Code
ProviderDeepSeekOpenRouter
Context Window1,048,576 tokens2,000,000 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 Date2026-10-172026-11-05

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4.1 Flash 1017

$0.15

Auto Code

Not listed

Output Price per Million Tokens

DeepSeek V4.1 Flash 1017

$0.60

Auto Code

Not listed

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%vs81.2%+6.8% Auto Code
DeepSeek V4.1 Flash 1017
Auto Code 🏆
HumanEvalPython coding & logic synthesis
70.6%vs91.4%+20.8% Auto Code
DeepSeek V4.1 Flash 1017
Auto Code 🏆
MATHComplex mathematical problem solving
43.8%vs56.6%+12.8% Auto Code
DeepSeek V4.1 Flash 1017
Auto Code 🏆
GPQAGraduate-level expert reasoning
31.2%vs38.6%+7.4% Auto Code
DeepSeek V4.1 Flash 1017
Auto Code 🏆
HellaSwagCommonsense reasoning and inference
78.4%vs80.8%+2.4% Auto Code
DeepSeek V4.1 Flash 1017
Auto Code 🏆
MT-BenchMulti-turn conversation flow quality
8.1%vs8.3%+0.2% Auto Code
DeepSeek V4.1 Flash 1017
Auto Code 🏆

DeepSeek V4.1 Flash 1017 Quirks & Gotchas

No developer gotchas reported.

Auto Code Quirks & Gotchas

No developer gotchas reported.

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