Compare/Nova Micro vs Ministral 3 8B

Nova MicrovsMinistral 3 8B

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

Amazon

Nova Micro

Input
$0.04/M
Output
$0.14/M
Speed
282 tok/s
TTFT
0.87s
Mistral

Ministral 3 8B

Input
$0.15/M
Output
$0.15/M
Speed
120 tok/s
TTFT
0.76s

Winner by Category

Cheaper
Nova Micro
Faster (tok/s)
Nova Micro
Lower Latency
Ministral 3 8B
Benchmarks (0-2)
Ministral 3 8B

Pricing Comparison

MetricNova MicroMinistral 3 8B
Input ($/M tokens)$0.04$0.15
Output ($/M tokens)$0.14$0.15
Cost for 1M input + 100K output tokens:
Nova Micro$0.05
Ministral 3 8B$0.16

Speed Comparison

Output Speed (tokens/s) — higher is better
Nova Micro
282 tok/s
Ministral 3 8B
120 tok/s
Time to First Token (seconds) — lower is better
Nova Micro
0.87s
Ministral 3 8B
0.76s

Editorial Analysis

Verdict. Ministral 3 8B takes the aggregate benchmark matchup 2–0 across 2 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 0.9× the per-million-token cost, Nova Micro is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Nova Micro makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Nova Micro is strongest on Intelligence Index (4.4). Ministral 3 8B leads on Coding Index (9.7), Intelligence Index (9.0).

Speed. On throughput, Nova Micro generates tokens at 282 tok/s versus 120 tok/s — about 57% faster. On time-to-first-token, Ministral 3 8B responds in 760ms vs 870ms, which matters most for chat-style UIs.

Provider. Amazon and Mistral sell to overlapping but distinct developer audiences: Amazon 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): Nova Micro costs $3.30 ($40/year); Ministral 3 8B costs $6.75 ($81/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Nova Micro ≈ $0.48/run, Ministral 3 8B ≈ $1.05/run. At agent/realtime scale (200M input / 100M output per million requests): Nova Micro ≈ $22/run, Ministral 3 8B ≈ $45/run. Nova Micro 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, Nova Micro is 2.35× faster (282 tok/s vs 120 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
4.49.0
Coding Index
9.7
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Nova Micro0 wins
2 winsMinistral 3 8B

Frequently Asked Questions

Which is cheaper, Nova Micro or Ministral 3 8B?

Nova Micro is cheaper overall. Its blended price (3:1 input/output ratio) is $0.07/M tokens vs $0.15/M for Ministral 3 8B.

Which model performs better on benchmarks?

Ministral 3 8B wins 2 out of 12 benchmarks compared to 0 for Nova Micro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Nova Micro generates tokens faster at 282 tok/s vs 120 tok/s. However, Ministral 3 8B has lower time-to-first-token (0.76s vs 0.87s).

When should I use Nova Micro vs Ministral 3 8B?

Choose based on your priorities: Nova Micro for lower cost, Ministral 3 8B for stronger benchmark performance, and Nova Micro for faster generation. For latency-sensitive apps, check the TTFT comparison above.