Compare/Ring-flash-2.0 vs Mistral Small 4 (Non-reasoning)

Ring-flash-2.0vsMistral Small 4 (Non-reasoning)

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

InclusionAI

Ring-flash-2.0

Input
$0.14/M
Output
$0.57/M
Speed
TTFT
Mistral

Mistral Small 4 (Non-reasoning)

Input
$0.15/M
Output
$0.6/M
Speed
137 tok/s
TTFT
0.81s

Winner by Category

Cheaper
Ring-flash-2.0
Faster (tok/s)
Mistral Small 4 (Non-reasoning)
Lower Latency
Mistral Small 4 (Non-reasoning)
Benchmarks (0-1)
Mistral Small 4 (Non-reasoning)

Pricing Comparison

MetricRing-flash-2.0Mistral Small 4 (Non-reasoning)
Input ($/M tokens)$0.14$0.15
Output ($/M tokens)$0.57$0.6
Cost for 1M input + 100K output tokens:
Ring-flash-2.0$0.20
Mistral Small 4 (Non-reasoning)$0.21

Speed Comparison

Output Speed (tokens/s) — higher is better
Ring-flash-2.0
Mistral Small 4 (Non-reasoning)
137 tok/s
Time to First Token (seconds) — lower is better
Ring-flash-2.0
Mistral Small 4 (Non-reasoning)
0.81s

Editorial Analysis

Verdict. Mistral Small 4 (Non-reasoning) takes the aggregate benchmark matchup 1–0 across 1 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, Ring-flash-2.0 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Ring-flash-2.0 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Ring-flash-2.0 is strongest on Intelligence Index (8.0). Mistral Small 4 (Non-reasoning) leads on Intelligence Index (12.3).

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

Provider. InclusionAI and Mistral sell to overlapping but distinct developer audiences: InclusionAI 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): Ring-flash-2.0 costs $12.75 ($153/year); Mistral Small 4 (Non-reasoning) costs $13.50 ($162/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Ring-flash-2.0 ≈ $1.84/run, Mistral Small 4 (Non-reasoning) ≈ $1.95/run. At agent/realtime scale (200M input / 100M output per million requests): Ring-flash-2.0 ≈ $85/run, Mistral Small 4 (Non-reasoning) ≈ $90/run. Ring-flash-2.0 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.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.012.3
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Ring-flash-2.00 wins
1 winsMistral Small 4 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Ring-flash-2.0 or Mistral Small 4 (Non-reasoning)?

Ring-flash-2.0 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.25/M tokens vs $0.26/M for Mistral Small 4 (Non-reasoning).

Which model performs better on benchmarks?

Mistral Small 4 (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for Ring-flash-2.0. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Mistral Small 4 (Non-reasoning) generates tokens faster at 137 tok/s vs — tok/s. However, Mistral Small 4 (Non-reasoning) has lower time-to-first-token (0.81s vs —s).

When should I use Ring-flash-2.0 vs Mistral Small 4 (Non-reasoning)?

Choose based on your priorities: Ring-flash-2.0 for lower cost, Mistral Small 4 (Non-reasoning) for stronger benchmark performance, and Mistral Small 4 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.