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DeepSeek R1 vs Ling 3.0 Flash VL

Detailed technical comparison between DeepSeek R1 (DeepSeek) and Ling 3.0 Flash VL (Inclusion AI). 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 R1: 6 WinsvsLing 3.0 Flash VL: 0 Wins
Context Leader

DeepSeek R1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Ling 3.0 Flash VL

$0.06 / MTok
DeepSeekactive

DeepSeek R1

DeepSeek R1 is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek R1 represents a key architectural iteration in the DeepSeek model family. First released in 2025-01-20, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 163,840 tokens (approximately 218 words), DeepSeek R1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek R1 Full Specs →
Inclusion AIactive

Ling 3.0 Flash VL

Ling 3.0 Flash VL is an advanced artificial intelligence model engineered by Inclusion AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Ling 3.0 Flash VL represents a key architectural iteration in the Inclusion AI model family. First released in 2026-09-10, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 131,072 tokens (approximately 175 words), Ling 3.0 Flash VL processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Ling 3.0 Flash VL Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek R1Ling 3.0 Flash VL
ProviderDeepSeekInclusion AI
Context Window163,840 tokens🏆131,072 tokens
Agent Suitability78/100 (est.)Not yet benchmarked
Time to First Token (TTFT)1800 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-01-202026-09-10

API Pricing Comparison

Input Price per Million Tokens

DeepSeek R1

$0.70

Ling 3.0 Flash VL

$0.06

Output Price per Million Tokens

DeepSeek R1

$2.50

Ling 3.0 Flash VL

$0.18

💡 Cost Ratio: Ling 3.0 Flash VL is 11.7x cheaper per input token than DeepSeek R1.

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
90.8%vs75.0%+15.8% DeepSeek R1
DeepSeek R1 🏆
Ling 3.0 Flash VL
HumanEvalPython coding & logic synthesis
92.8%vs71.2%+21.6% DeepSeek R1
DeepSeek R1 🏆
Ling 3.0 Flash VL
MATHComplex mathematical problem solving
93.1%vs44.4%+48.7% DeepSeek R1
DeepSeek R1 🏆
Ling 3.0 Flash VL
GPQAGraduate-level expert reasoning
62.1%vs28.4%+33.7% DeepSeek R1
DeepSeek R1 🏆
Ling 3.0 Flash VL
HellaSwagCommonsense reasoning and inference
90.5%vs75.6%+14.9% DeepSeek R1
DeepSeek R1 🏆
Ling 3.0 Flash VL
MT-BenchMulti-turn conversation flow quality
9.3%vs8.2%+1.2% DeepSeek R1
DeepSeek R1 🏆
Ling 3.0 Flash VL

DeepSeek R1 Quirks & Gotchas

  • Reasoning model — not designed for high-frequency tool calling
  • Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only

Ling 3.0 Flash VL Quirks & Gotchas

No developer gotchas reported.

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