Compare/MiMo-V2.5 vs DeepSeek V4 Flash (Reasoning, Max Effort)

MiMo-V2.5vsDeepSeek V4 Flash (Reasoning, Max Effort)

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

Xiaomi

MiMo-V2.5

Input
$0.14/M
Output
$0.28/M
Speed
74 tok/s
TTFT
3.35s
DeepSeek

DeepSeek V4 Flash (Reasoning, Max Effort)

Input
$0.135/M
Output
$0.28/M
Speed
TTFT

Winner by Category

Cheaper
DeepSeek V4 Flash (Reasoning, Max Effort)
Faster (tok/s)
MiMo-V2.5
Lower Latency
DeepSeek V4 Flash (Reasoning, Max Effort)
Benchmarks (2-5)
DeepSeek V4 Flash (Reasoning, Max Effort)

Pricing Comparison

MetricMiMo-V2.5DeepSeek V4 Flash (Reasoning, Max Effort)
Input ($/M tokens)$0.14$0.135
Output ($/M tokens)$0.28$0.28
Cost for 1M input + 100K output tokens:
MiMo-V2.5$0.17
DeepSeek V4 Flash (Reasoning, Max Effort)$0.16

Speed Comparison

Output Speed (tokens/s) — higher is better
MiMo-V2.5
74 tok/s
DeepSeek V4 Flash (Reasoning, Max Effort)
Time to First Token (seconds) — lower is better
MiMo-V2.5
3.35s
DeepSeek V4 Flash (Reasoning, Max Effort)

Editorial Analysis

Verdict. DeepSeek V4 Flash (Reasoning, Max Effort) takes the aggregate benchmark matchup 5–2 across 7 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

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 GPQA Diamond (85%), IFBench (67%), Coding Index (56.8). DeepSeek V4 Flash (Reasoning, Max Effort) leads on GPQA Diamond (89%), IFBench (79%), Coding Index (56.2).

Speed. On throughput, MiMo-V2.5 generates tokens at 74 tok/s versus 0 tok/s — about 100% faster. On time-to-first-token, DeepSeek V4 Flash (Reasoning, Max Effort) responds in 0ms vs 3348ms, which matters most for chat-style UIs.

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 $8.25 ($99/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) ≈ $1.24/run. At agent/realtime scale (200M input / 100M output per million requests): MiMo-V2.5 ≈ $56/run, DeepSeek V4 Flash (Reasoning, Max Effort) ≈ $55/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

  • On throughput, MiMo-V2.5 is 7358.50× faster (74 tok/s vs 0 tok/s). For streaming chat or real-time agents this alone often flips the recommendation.
  • Time-to-first-token differs by 33480.0× — DeepSeek V4 Flash (Reasoning, Max Effort) responds in 0ms vs 3348ms. For interactive chat UIs this can matter more than raw benchmark wins.
  • Aggregate benchmark score (sum across 12 categories, capped at 100): MiMo-V2.5 = 97, DeepSeek V4 Flash (Reasoning, Max Effort) = 99. Within 15% — effectively equivalent if both meet the threshold your product requires.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
37.240.3
Coding Index
56.856.2
Math Index
GPQA Diamond
84.9%89.4%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
25.2%32.1%
SciCode
43.1%44.9%
IFBench
67.1%79.2%
TerminalBench
41.7%35.6%
MiMo-V2.52 wins
5 winsDeepSeek V4 Flash (Reasoning, Max Effort)

Frequently Asked Questions

Which is cheaper, MiMo-V2.5 or DeepSeek V4 Flash (Reasoning, Max Effort)?

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.

Which model performs better on benchmarks?

DeepSeek V4 Flash (Reasoning, Max Effort) wins 5 out of 12 benchmarks compared to 2 for MiMo-V2.5. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

MiMo-V2.5 generates tokens faster at 74 tok/s vs 0 tok/s. However, DeepSeek V4 Flash (Reasoning, Max Effort) has lower time-to-first-token (0.00s vs 3.35s).

When should I use MiMo-V2.5 vs DeepSeek V4 Flash (Reasoning, Max Effort)?

Choose based on your priorities: DeepSeek V4 Flash (Reasoning, Max Effort) for lower cost, DeepSeek V4 Flash (Reasoning, Max Effort) for stronger benchmark performance, and MiMo-V2.5 for faster generation. For latency-sensitive apps, check the TTFT comparison above.