token.app โ€บ Compare โ€บ Mistral Large vs Inkling Small

Mistral Large vs Inkling Small

Inkling Small leads on 2 of 2 shared benchmarks. Inkling Small is 4.7ร— cheaper per token on a blended 3:1 basis. Inkling Small accepts the larger context window (524K).

Head to head
Blended price uses a 3:1 input:output mix
Mistral LargeInkling Small
ProviderMistral AIThinkingmachines
Input $/1M$2.00$0.450
Output $/1M$6.00$1.20
Blended $/1M$3.00$0.637
Context window128K524K
Max output102K262K
ReleasedFeb 2024Jul 2026
LicenceProprietaryOpen weights
GPQA Diamond 38.8% 88.5%
OTIS Mock AIME 1.9% 90.0%
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose Mistral Large ifโ€ฆ
  • No clear advantage on the data we hold.
Choose Inkling Small ifโ€ฆ
  • Costs less per token โ€” $0.637 vs $3.00 blended
  • Higher GPQA Diamond (88.5% vs 38.8%)
  • Higher OTIS Mock AIME (90.0% vs 1.9%)
  • Larger context window (524K)
  • Open weights โ€” self-hostable
  • Newer model (released Jul 2026)
FAQ
Which is better, Mistral Large or Inkling Small?
Across the 2 benchmarks both models have independently-run scores for, Mistral Large leads on 0 and Inkling Small leads on 2. Benchmarks are one input โ€” price and context window are on this page too.
Is Mistral Large cheaper than Inkling Small?
Inkling Small is cheaper: $0.637 versus $3.00 per million tokens blended at 3:1 input:output. Input alone: $2.00 vs $0.450. Output alone: $6.00 vs $1.20.
What context windows do Mistral Large and Inkling Small have?
Mistral Large: 128,000 tokens. Inkling Small: 524,288 tokens.
Who makes Mistral Large and Inkling Small?
Mistral Large is made by Mistral AI. Inkling Small is made by Thinkingmachines.
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