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GPT-4 1.5-nano vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

GPT-4.1 Nano is significantly cheaper at $0.10/$0.40 per million tokens vs $2.00/$6.00. Mistral Large is stronger for coding with a coding ELO of 1240 vs 1150. GPT-4.1 Nano is faster at 150 tokens/sec vs 75 tokens/sec. Mistral Large ranks higher overall with an Arena ELO of 1245 vs 1180. GPT-4.1 Nano offers a larger 1048K context window vs 128K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGPT-4 1.5-nanoMistral Large
ProviderOpenAIMistral
Input Price / 1M tokens$0.100$0.500
Output Price / 1M tokens$0.400$1.50
Context Window
128K
128K
Max Output Tokens
4,096
8,192
Arena ELO
1,150
1,245
Coding ELO
1,160
1,240
TTFT (ms)
120
280
Tokens/sec
150
75
MultimodalNoNo
JSON ModeYesYes
Function CallingYesYes
VisionNoNo
When to Use GPT-4 1.5-nano

Choose GPT-4.1 Nano when you need: ultra-low pricing, 1m context window, very fast inference, ideal for simple tasks at scale. It excels at chatbots, classification, cost-sensitive, high-volume tasks. It is also the more cost-effective option between the two. Its 1048K context window is larger, making it better for long-document processing.

Strengths:

  • Super cheap
  • Very fast
  • Large context

Best for:

cost-effectivefast-inference
When to Use Mistral Large

Choose Mistral Large when you need: strong multilingual support, good coding capabilities, european ai alternative, open-weight model available. It excels at coding, multilingual, general-purpose tasks.

Strengths:

  • Strong multilingual support
  • Good coding capabilities
  • European AI alternative
  • Open-weight model available

Best for:

codingmultilingualgeneral-purpose

Frequently Asked Questions

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