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DeepSeek V4.1 Flash 1017 vs GPT-6.1 Terra

Detailed technical comparison between DeepSeek V4.1 Flash 1017 (DeepSeek) and GPT-6.1 Terra (OpenAI). 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 WinsvsGPT-6.1 Terra: 6 Wins
Context Leader

GPT-6.1 Terra

1,050,000 tokens
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 →
OpenAIactive

GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...

View GPT-6.1 Terra Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek V4.1 Flash 1017GPT-6.1 Terra
ProviderDeepSeekOpenAI
Context Window1,048,576 tokens1,050,000 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 Date2026-10-172026-10-26

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4.1 Flash 1017

$0.15

GPT-6.1 Terra

$1.00

Output Price per Million Tokens

DeepSeek V4.1 Flash 1017

$0.60

GPT-6.1 Terra

$5.00

💡 Cost Ratio: DeepSeek V4.1 Flash 1017 is 6.7x cheaper per input token than GPT-6.1 Terra.

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%vs79.8%+5.4% GPT-6.1 Terra
DeepSeek V4.1 Flash 1017
GPT-6.1 Terra 🏆
HumanEvalPython coding & logic synthesis
70.6%vs78.0%+7.4% GPT-6.1 Terra
DeepSeek V4.1 Flash 1017
GPT-6.1 Terra 🏆
MATHComplex mathematical problem solving
43.8%vs55.2%+11.4% GPT-6.1 Terra
DeepSeek V4.1 Flash 1017
GPT-6.1 Terra 🏆
GPQAGraduate-level expert reasoning
31.2%vs40.6%+9.4% GPT-6.1 Terra
DeepSeek V4.1 Flash 1017
GPT-6.1 Terra 🏆
HellaSwagCommonsense reasoning and inference
78.4%vs82.8%+4.4% GPT-6.1 Terra
DeepSeek V4.1 Flash 1017
GPT-6.1 Terra 🏆
MT-BenchMulti-turn conversation flow quality
8.1%vs8.5%+0.4% GPT-6.1 Terra
DeepSeek V4.1 Flash 1017
GPT-6.1 Terra 🏆

DeepSeek V4.1 Flash 1017 Quirks & Gotchas

No developer gotchas reported.

GPT-6.1 Terra Quirks & Gotchas

No developer gotchas reported.

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