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GPT-3.5 Turbo Instruct vs DeepSeek V3.1

Detailed technical comparison between GPT-3.5 Turbo Instruct (OpenAI) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-3.5 Turbo Instruct: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

DeepSeek V3.1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
OpenAIactive

GPT-3.5 Turbo Instruct

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

View GPT-3.5 Turbo Instruct Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-3.5 Turbo InstructDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window4,095 tokens163,840 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2023-09-282025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-3.5 Turbo Instruct

$1.50

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-3.5 Turbo Instruct

$2.00

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 6.0x cheaper per input token than GPT-3.5 Turbo Instruct.

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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 (0โ€“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
79.8%vs80.0%+0.2% DeepSeek V3.1
GPT-3.5 Turbo Instruct
DeepSeek V3.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
78.0%vs78.2%+0.2% DeepSeek V3.1
GPT-3.5 Turbo Instruct
DeepSeek V3.1 ๐Ÿ†
MATHComplex mathematical problem solving
55.2%vs55.4%+0.2% DeepSeek V3.1
GPT-3.5 Turbo Instruct
DeepSeek V3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
40.6%vs40.8%+0.2% DeepSeek V3.1
GPT-3.5 Turbo Instruct
DeepSeek V3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
82.8%vs83.0%+0.2% DeepSeek V3.1
GPT-3.5 Turbo Instruct
DeepSeek V3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.5%vs8.6%+0.0% DeepSeek V3.1
GPT-3.5 Turbo Instruct
DeepSeek V3.1 ๐Ÿ†

GPT-3.5 Turbo Instruct Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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