SHARE THIS:

Auto Code vs DeepSeek V4.1 Flash 1017

Detailed technical comparison between Auto Code (OpenRouter) and DeepSeek V4.1 Flash 1017 (DeepSeek). 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

Auto Code: 6 WinsvsDeepSeek V4.1 Flash 1017: 0 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
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 →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationAuto CodeDeepSeek V4.1 Flash 1017
ProviderOpenRouterDeepSeek
Context Window2,000,000 tokens🏆1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-11-052026-10-17

API Pricing Comparison

Input Price per Million Tokens

Auto Code

Not listed

DeepSeek V4.1 Flash 1017

$0.15

Output Price per Million Tokens

Auto Code

Not listed

DeepSeek V4.1 Flash 1017

$0.60

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
81.2%vs74.4%+6.8% Auto Code
Auto Code 🏆
DeepSeek V4.1 Flash 1017
HumanEvalPython coding & logic synthesis
91.4%vs70.6%+20.8% Auto Code
Auto Code 🏆
DeepSeek V4.1 Flash 1017
MATHComplex mathematical problem solving
56.6%vs43.8%+12.8% Auto Code
Auto Code 🏆
DeepSeek V4.1 Flash 1017
GPQAGraduate-level expert reasoning
38.6%vs31.2%+7.4% Auto Code
Auto Code 🏆
DeepSeek V4.1 Flash 1017
HellaSwagCommonsense reasoning and inference
80.8%vs78.4%+2.4% Auto Code
Auto Code 🏆
DeepSeek V4.1 Flash 1017
MT-BenchMulti-turn conversation flow quality
8.3%vs8.1%+0.2% Auto Code
Auto Code 🏆
DeepSeek V4.1 Flash 1017

Auto Code Quirks & Gotchas

No developer gotchas reported.

DeepSeek V4.1 Flash 1017 Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons