Compare/DeepSeek V4 Flash (Non-reasoning) vs MiMo-V2.5

DeepSeek V4 Flash (Non-reasoning)vsMiMo-V2.5

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

DeepSeek

DeepSeek V4 Flash (Non-reasoning)

Input
$0.14/M
Output
$0.28/M
Speed
113 tok/s
TTFT
0.99s
Xiaomi

MiMo-V2.5

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

Winner by Category

Cheaper
Tie
Faster (tok/s)
DeepSeek V4 Flash (Non-reasoning)
Lower Latency
DeepSeek V4 Flash (Non-reasoning)
Benchmarks (0-7)
MiMo-V2.5

Pricing Comparison

MetricDeepSeek V4 Flash (Non-reasoning)MiMo-V2.5
Input ($/M tokens)$0.14$0.14
Output ($/M tokens)$0.28$0.28
Cost for 1M input + 100K output tokens:
DeepSeek V4 Flash (Non-reasoning)$0.17
MiMo-V2.5$0.17

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V4 Flash (Non-reasoning)
113 tok/s
MiMo-V2.5
74 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V4 Flash (Non-reasoning)
0.99s
MiMo-V2.5
3.35s

Editorial Analysis

Verdict. MiMo-V2.5 takes the aggregate benchmark matchup 7–0 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, MiMo-V2.5 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). MiMo-V2.5 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. DeepSeek V4 Flash (Non-reasoning) is strongest on GPQA Diamond (72%), IFBench (47%), SciCode (37%). MiMo-V2.5 leads on GPQA Diamond (85%), IFBench (67%), Coding Index (56.8).

Speed. On throughput, DeepSeek V4 Flash (Non-reasoning) generates tokens at 113 tok/s versus 74 tok/s — about 35% faster. On time-to-first-token, DeepSeek V4 Flash (Non-reasoning) responds in 991ms vs 3348ms, which matters most for chat-style UIs.

Provider. DeepSeek and Xiaomi sell to overlapping but distinct developer audiences: DeepSeek tends to ship frontier reasoning models with premium positioning, while Xiaomi 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 V4 Flash (Non-reasoning) costs $8.40 ($101/year); MiMo-V2.5 costs $8.40 ($101/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): DeepSeek V4 Flash (Non-reasoning) ≈ $1.26/run, MiMo-V2.5 ≈ $1.26/run. At agent/realtime scale (200M input / 100M output per million requests): DeepSeek V4 Flash (Non-reasoning) ≈ $56/run, MiMo-V2.5 ≈ $56/run.

Recommendation. If you want one safe default, take MiMo-V2.5 — it dominates the benchmark table and the latency profile is 1.5× faster. DeepSeek V4 Flash (Non-reasoning) only makes sense when you specifically need its pricing tier, an existing contract, or a feature difference that is not measured by the benchmarks above.

Head-to-head deltas

  • MiMo-V2.5 wins 7 more benchmarks than its opponent — a margin wide enough to call the comparison settled on benchmark terms alone.
  • On throughput, DeepSeek V4 Flash (Non-reasoning) is 1.54× faster (113 tok/s vs 74 tok/s). For streaming chat or real-time agents this alone often flips the recommendation.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
28.737.2
Coding Index
56.8
Math Index
GPQA Diamond
71.6%84.9%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
7.0%25.2%
SciCode
37.3%43.1%
IFBench
47.2%67.1%
TerminalBench
34.1%41.7%
DeepSeek V4 Flash (Non-reasoning)0 wins
7 winsMiMo-V2.5

Frequently Asked Questions

Which is cheaper, DeepSeek V4 Flash (Non-reasoning) or MiMo-V2.5?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

MiMo-V2.5 wins 7 out of 12 benchmarks compared to 0 for DeepSeek V4 Flash (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

DeepSeek V4 Flash (Non-reasoning) generates tokens faster at 113 tok/s vs 74 tok/s. DeepSeek V4 Flash (Non-reasoning) also has lower time-to-first-token (0.99s vs 3.35s).

When should I use DeepSeek V4 Flash (Non-reasoning) vs MiMo-V2.5?

Choose based on your priorities: both are similarly priced, MiMo-V2.5 for stronger benchmark performance, and DeepSeek V4 Flash (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.