Compare/DeepSeek V3 0324 vs MiniMax-M2.5

DeepSeek V3 0324vsMiniMax-M2.5

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

DeepSeek

DeepSeek V3 0324

Input
$0.27/M
Output
$1.12/M
Speed
TTFT
MiniMax

MiniMax-M2.5

Input
$0.3/M
Output
$1.2/M
Speed
94 tok/s
TTFT
1.66s

Winner by Category

Cheaper
DeepSeek V3 0324
Faster (tok/s)
MiniMax-M2.5
Lower Latency
MiniMax-M2.5
Benchmarks (1-1)
Tie

Pricing Comparison

MetricDeepSeek V3 0324MiniMax-M2.5
Input ($/M tokens)$0.27$0.3
Output ($/M tokens)$1.12$1.2
Cost for 1M input + 100K output tokens:
DeepSeek V3 0324$0.38
MiniMax-M2.5$0.42

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V3 0324
MiniMax-M2.5
94 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V3 0324
MiniMax-M2.5
1.66s

Editorial Analysis

Verdict. DeepSeek V3 0324 and MiniMax-M2.5 split the benchmark comparison evenly at 1–1. The tiebreaker here is price, speed, and what you actually run them on.

Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, DeepSeek V3 0324 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). DeepSeek V3 0324 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. DeepSeek V3 0324 is strongest on Coding Index (21.2), Intelligence Index (15.2). MiniMax-M2.5 leads on Intelligence Index (34.5).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. DeepSeek and MiniMax sell to overlapping but distinct developer audiences: DeepSeek tends to ship frontier reasoning models with premium positioning, while MiniMax 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): DeepSeek V3 0324 costs $24.90 ($299/year); MiniMax-M2.5 costs $27.00 ($324/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): DeepSeek V3 0324 ≈ $3.59/run, MiniMax-M2.5 ≈ $3.90/run. At agent/realtime scale (200M input / 100M output per million requests): DeepSeek V3 0324 ≈ $166/run, MiniMax-M2.5 ≈ $180/run. DeepSeek V3 0324 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

  • Benchmark wins tie exactly at 1–1. The tiebreaker on raw benchmark parity will be price, speed, or capability coverage.
  • Aggregate benchmark score (sum across 12 categories, capped at 100): DeepSeek V3 0324 = 36, MiniMax-M2.5 = 35. Within 15% — effectively equivalent if both meet the threshold your product requires.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.234.5
Coding Index
21.2
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
DeepSeek V3 03241 wins
1 winsMiniMax-M2.5

Frequently Asked Questions

Which is cheaper, DeepSeek V3 0324 or MiniMax-M2.5?

DeepSeek V3 0324 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.48/M tokens vs $0.53/M for MiniMax-M2.5.

Which model performs better on benchmarks?

It's a tie — both models win 1 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

MiniMax-M2.5 generates tokens faster at 94 tok/s vs — tok/s. However, MiniMax-M2.5 has lower time-to-first-token (1.66s vs —s).

When should I use DeepSeek V3 0324 vs MiniMax-M2.5?

Choose based on your priorities: DeepSeek V3 0324 for lower cost, both perform similarly on benchmarks, and MiniMax-M2.5 for faster generation. For latency-sensitive apps, check the TTFT comparison above.