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Claude Opus 4.6 vs Saba

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.6 and Saba.

Anthropic

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...

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Mistral

Saba

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

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Technical Specifications

SpecificationClaude Opus 4.6Saba
ProviderAnthropicMistral
Context Window1,000,000 tokens32,768 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042025-02-17

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Saba

$0.20

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Saba

$0.60

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9250.0%vsN/A
Claude Opus 4.6
Saba
HumanEvalPython coding & logic synthesis
9450.0%vsN/A
Claude Opus 4.6
Saba
MATHComplex mathematical problem solving
8890.0%vsN/A
Claude Opus 4.6
Saba
GPQAGraduate-level expert reasoning
7980.0%vsN/A
Claude Opus 4.6
Saba
HellaSwagCommonsense reasoning and inference
9750.0%vsN/A
Claude Opus 4.6
Saba
MT-BenchMulti-turn conversation flow quality
965.0%vsN/A
Claude Opus 4.6
Saba

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

Saba Quirks & Gotchas

No developer gotchas reported.