Mistral Large 2 vs GPT-4o Mini: Detailed Comparison

Choosing between Mistral Large 2 (Mistral AI) and GPT-4o Mini (OpenAI) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. Mistral Large 2 costs $2.00/M input vs $0.15/M for GPT-4o Mini; context windows are 128K vs 128K tokens. Detailed breakdown below.

Side-by-side specs

SpecMistral Large 2GPT-4o Mini
ProviderMistral AIOpenAI
Released2024-07-242024-07-18
Input price $2.00/M $0.15/M
Output price $6.00/M $0.60/M
Cached input $0.0750/M
Context window 128K 128K
Max output 8K 16K
Modalities text text image
Tokenizer mistral o200k_base

Capability matrix

CapabilityMistral Large 2GPT-4o Mini
function calling Yes Yes
json mode Yes Yes
streaming Yes Yes
vision No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryMistral Large 2GPT-4o MiniΔ
MMLU general 84.0
HumanEval coding 92.0

Per-call cost on typical workloads

Workload (in/out tokens)Mistral Large 2GPT-4o MiniCheaper by
Standard chat (1K / 500) $0.005000 $0.000450 GPT-4o Mini by $0.004550
RAG (4K / 500) $0.011000 $0.000900 GPT-4o Mini by $0.010100
Long doc (20K / 1K) $0.046000 $0.003600 GPT-4o Mini by $0.042400
Very long context (100K / 2K) $0.209000 $0.015900 GPT-4o Mini by $0.193100

When to choose Mistral Large 2 over GPT-4o Mini

  • Mistral Large 2 fits when your stack is already on Mistral AI (single billing, SDK, observability surface).

When to choose GPT-4o Mini over Mistral Large 2

  • Per-token input cost is 93% lower than Mistral Large 2.
  • Supports vision — Mistral Large 2 does not.

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