← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 4.6 vs Hermes 3 405B Instruct

Detailed technical comparison between Claude Opus 4.6 (Anthropic) 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.

⚑ Executive Summary & Verdict

Comparison Snapshot

Claude Opus 4.6: 6 WinsvsHermes 3 405B Instruct: 0 Wins
Context Leader

Claude Opus 4.6

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Hermes 3 405B Instruct

$1.00 / MTok
Anthropicactive

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

View Claude Opus 4.6 Full Specs β†’
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 β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationClaude Opus 4.6Hermes 3 405B Instruct
ProviderAnthropicNous Research
Context Window1,000,000 tokensπŸ†131,072 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042024-08-16

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Hermes 3 405B Instruct

$1.00

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Hermes 3 405B Instruct

$1.00

πŸ’‘ Cost Ratio: Hermes 3 405B Instruct is 5.0x cheaper per input token than Claude Opus 4.6.

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
92.5%vs78.8%+13.7% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Hermes 3 405B Instruct
HumanEvalPython coding & logic synthesis
94.5%vs77.0%+17.5% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Hermes 3 405B Instruct
MATHComplex mathematical problem solving
88.9%vs54.2%+34.7% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Hermes 3 405B Instruct
GPQAGraduate-level expert reasoning
79.8%vs39.6%+40.2% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Hermes 3 405B Instruct
HellaSwagCommonsense reasoning and inference
97.5%vs81.8%+15.7% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Hermes 3 405B Instruct
MT-BenchMulti-turn conversation flow quality
9.7%vs8.4%+1.2% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Hermes 3 405B Instruct

Claude Opus 4.6 Quirks & Gotchas

  • β–ΈBest for long-context document analysis and legal review
  • β–ΈTool calling requires structured prompt β€” prone to verbose refusal without explicit output schema

Hermes 3 405B Instruct Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons