Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | MiMo-V2.5 | DeepSeek V4 Flash (Reasoning, Max Effort) |
|---|---|---|
| Input ($/M tokens) | $0.14 | $0.13 |
| Output ($/M tokens) | $0.28 | $0.28 |
Verdict. MiMo-V2.5 and DeepSeek V4 Flash (Reasoning, Max Effort) 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 1.0× the per-million-token cost, DeepSeek V4 Flash (Reasoning, Max Effort) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). DeepSeek V4 Flash (Reasoning, Max Effort) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. MiMo-V2.5 is strongest on Coding Index (56.8), Intelligence Index (38.0). DeepSeek V4 Flash (Reasoning, Max Effort) leads on Coding Index (56.2), Intelligence Index (42.1).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Xiaomi and DeepSeek sell to overlapping but distinct developer audiences: Xiaomi tends to ship frontier reasoning models with premium positioning, while DeepSeek 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): MiMo-V2.5 costs $8.40 ($101/year); DeepSeek V4 Flash (Reasoning, Max Effort) costs $8.10 ($97/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): MiMo-V2.5 ≈ $1.26/run, DeepSeek V4 Flash (Reasoning, Max Effort) ≈ $1.21/run. At agent/realtime scale (200M input / 100M output per million requests): MiMo-V2.5 ≈ $56/run, DeepSeek V4 Flash (Reasoning, Max Effort) ≈ $54/run. DeepSeek V4 Flash (Reasoning, Max Effort) 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
Data from Artificial Analysis API — 12 benchmarks
DeepSeek V4 Flash (Reasoning, Max Effort) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.17/M tokens vs $0.17/M for MiMo-V2.5.
It's a tie — both models win 1 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
MiMo-V2.5 generates tokens faster at 60 tok/s vs — tok/s. MiMo-V2.5 also has lower time-to-first-token (3.81s vs —s).
Choose based on your priorities: DeepSeek V4 Flash (Reasoning, Max Effort) for lower cost, both perform similarly on benchmarks, and MiMo-V2.5 for faster generation. For latency-sensitive apps, check the TTFT comparison above.