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Gemini 3.8 Flash vs Ling 3.0 Flash VL

Detailed technical comparison between Gemini 3.8 Flash (Google) 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

Gemini 3.8 Flash: 6 WinsvsLing 3.0 Flash VL: 0 Wins
Context Leader

Gemini 3.8 Flash

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Ling 3.0 Flash VL

$0.06 / MTok
Googleactive

Gemini 3.8 Flash

Gemini 3.8 Flash is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 3.8 Flash represents a key architectural iteration in the Google model family. First released in 2026-09-02, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Gemini 3.8 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Gemini 3.8 Flash 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
SpecificationGemini 3.8 FlashLing 3.0 Flash VL
ProviderGoogleInclusion AI
Context Window1,048,576 tokens🏆131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-09-022026-09-10

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.8 Flash

$0.75

Ling 3.0 Flash VL

$0.06

Output Price per Million Tokens

Gemini 3.8 Flash

$3.75

Ling 3.0 Flash VL

$0.18

💡 Cost Ratio: Ling 3.0 Flash VL is 12.5x cheaper per input token than Gemini 3.8 Flash.

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
91.2%vs75.0%+16.2% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
Ling 3.0 Flash VL
HumanEvalPython coding & logic synthesis
93.5%vs71.2%+22.3% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
Ling 3.0 Flash VL
MATHComplex mathematical problem solving
89.0%vs44.4%+44.6% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
Ling 3.0 Flash VL
GPQAGraduate-level expert reasoning
72.5%vs28.4%+44.1% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
Ling 3.0 Flash VL
HellaSwagCommonsense reasoning and inference
94.0%vs75.6%+18.4% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
Ling 3.0 Flash VL
MT-BenchMulti-turn conversation flow quality
9.4%vs8.2%+1.2% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
Ling 3.0 Flash VL

Gemini 3.8 Flash Quirks & Gotchas

No developer gotchas reported.

Ling 3.0 Flash VL Quirks & Gotchas

No developer gotchas reported.

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