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Gemini 3.1 Pro vs Hermes 3 405B Instruct

Detailed technical comparison between Gemini 3.1 Pro (Google) and Hermes 3 405B Instruct (Nous Research). 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

Gemini 3.1 Pro: 6 WinsvsHermes 3 405B Instruct: 0 Wins
Context Leader

Gemini 3.1 Pro

2,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Hermes 3 405B Instruct

$1.00 / MTok
Googleactive

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

View Gemini 3.1 Pro Full Specs โ†’
Nous Researchactive

Hermes 3 405B Instruct

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...

View Hermes 3 405B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGemini 3.1 ProHermes 3 405B Instruct
ProviderGoogleNous Research
Context Window2,000,000 tokens๐Ÿ†131,072 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202024-08-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Hermes 3 405B Instruct

$1.00

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Hermes 3 405B Instruct

$1.00

๐Ÿ’ก Cost Ratio: Hermes 3 405B Instruct is 2.0x cheaper per input token than Gemini 3.1 Pro.

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 (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
92.8%vs78.8%+14.0% Gemini 3.1 Pro
Gemini 3.1 Pro ๐Ÿ†
Hermes 3 405B Instruct
HumanEvalPython coding & logic synthesis
94.6%vs77.0%+17.6% Gemini 3.1 Pro
Gemini 3.1 Pro ๐Ÿ†
Hermes 3 405B Instruct
MATHComplex mathematical problem solving
88.0%vs54.2%+33.8% Gemini 3.1 Pro
Gemini 3.1 Pro ๐Ÿ†
Hermes 3 405B Instruct
GPQAGraduate-level expert reasoning
81.3%vs39.6%+41.7% Gemini 3.1 Pro
Gemini 3.1 Pro ๐Ÿ†
Hermes 3 405B Instruct
HellaSwagCommonsense reasoning and inference
98.4%vs81.8%+16.6% Gemini 3.1 Pro
Gemini 3.1 Pro ๐Ÿ†
Hermes 3 405B Instruct
MT-BenchMulti-turn conversation flow quality
9.5%vs8.4%+1.1% Gemini 3.1 Pro
Gemini 3.1 Pro ๐Ÿ†
Hermes 3 405B Instruct

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio

Hermes 3 405B Instruct Quirks & Gotchas

No developer gotchas reported.

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