Compare/GPT-5 mini (minimal) vs Mistral Medium 3

GPT-5 mini (minimal)vsMistral Medium 3

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

GPT-5 mini (minimal)

Input
$0.25/M
Output
$2/M
Speed
94 tok/s
TTFT
0.91s
Mistral

Mistral Medium 3

Input
$0.4/M
Output
$2/M
Speed
54 tok/s
TTFT
1.45s

Winner by Category

Cheaper
GPT-5 mini (minimal)
Faster (tok/s)
GPT-5 mini (minimal)
Lower Latency
GPT-5 mini (minimal)
Benchmarks (1-0)
GPT-5 mini (minimal)

Pricing Comparison

MetricGPT-5 mini (minimal)Mistral Medium 3
Input ($/M tokens)$0.25$0.4
Output ($/M tokens)$2$2
Cost for 1M input + 100K output tokens:
GPT-5 mini (minimal)$0.45
Mistral Medium 3$0.60

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-5 mini (minimal)
94 tok/s
Mistral Medium 3
54 tok/s
Time to First Token (seconds) — lower is better
GPT-5 mini (minimal)
0.91s
Mistral Medium 3
1.45s

Editorial Analysis

Verdict. GPT-5 mini (minimal) wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Mistral Medium 3 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Mistral Medium 3 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. GPT-5 mini (minimal) is strongest on Intelligence Index (14.3). Mistral Medium 3 leads on Intelligence Index (12.5).

Speed. On throughput, GPT-5 mini (minimal) generates tokens at 94 tok/s versus 54 tok/s — about 42% faster. On time-to-first-token, GPT-5 mini (minimal) responds in 910ms vs 1450ms, which matters most for chat-style UIs.

Provider. OpenAI and Mistral sell to overlapping but distinct developer audiences: OpenAI tends to ship frontier reasoning models with premium positioning, while Mistral often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): GPT-5 mini (minimal) costs $37.50 ($450/year); Mistral Medium 3 costs $42.00 ($504/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): GPT-5 mini (minimal) ≈ $5.25/run, Mistral Medium 3 ≈ $6.00/run. At agent/realtime scale (200M input / 100M output per million requests): GPT-5 mini (minimal) ≈ $250/run, Mistral Medium 3 ≈ $280/run. GPT-5 mini (minimal) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Head-to-head deltas

  • On throughput, GPT-5 mini (minimal) is 1.73× faster (94 tok/s vs 54 tok/s). For streaming chat or real-time agents this alone often flips the recommendation.
  • Aggregate benchmark score (sum across 12 categories, capped at 100): GPT-5 mini (minimal) = 14, Mistral Medium 3 = 13. Within 15% — effectively equivalent if both meet the threshold your product requires.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
14.312.5
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
GPT-5 mini (minimal)1 wins
0 winsMistral Medium 3

Frequently Asked Questions

Which is cheaper, GPT-5 mini (minimal) or Mistral Medium 3?

GPT-5 mini (minimal) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.69/M tokens vs $0.80/M for Mistral Medium 3.

Which model performs better on benchmarks?

GPT-5 mini (minimal) wins 1 out of 12 benchmarks compared to 0 for Mistral Medium 3. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5 mini (minimal) generates tokens faster at 94 tok/s vs 54 tok/s. GPT-5 mini (minimal) also has lower time-to-first-token (0.91s vs 1.45s).

When should I use GPT-5 mini (minimal) vs Mistral Medium 3?

Choose based on your priorities: GPT-5 mini (minimal) for lower cost, GPT-5 mini (minimal) for stronger benchmark performance, and GPT-5 mini (minimal) for faster generation. For latency-sensitive apps, check the TTFT comparison above.