Compare/K2 Horizon 375B A23B vs Gemini 3.5 Flash (high)

K2 Horizon 375B A23BvsGemini 3.5 Flash (high)

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

MBZUAI Institute of Foundation Models

K2 Horizon 375B A23B

Input
Output
Speed
TTFT
Google

Gemini 3.5 Flash (high)

Input
$1.5/M
Output
$9/M
Speed
205 tok/s
TTFT
15.26s

Winner by Category

Cheaper
Gemini 3.5 Flash (high)
Faster (tok/s)
Gemini 3.5 Flash (high)
Lower Latency
Gemini 3.5 Flash (high)
Benchmarks (0-2)
Gemini 3.5 Flash (high)

Pricing Comparison

MetricK2 Horizon 375B A23BGemini 3.5 Flash (high)
Input ($/M tokens)$1.5
Output ($/M tokens)$9
Cost for 1M input + 100K output tokens:
Gemini 3.5 Flash (high)$2.40

Speed Comparison

Output Speed (tokens/s) — higher is better
K2 Horizon 375B A23B
Gemini 3.5 Flash (high)
205 tok/s
Time to First Token (seconds) — lower is better
K2 Horizon 375B A23B
Gemini 3.5 Flash (high)
15.26s

Editorial Analysis

Verdict. Gemini 3.5 Flash (high) 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. Pricing varies significantly between these models — check the table above for the exact per-token rates. Many production workloads actually surface input-token cost (retrieval-augmented prompts, code-context windows), so factor both directions.

Strengths. K2 Horizon 375B A23B is strongest on Coding Index (61.5), Intelligence Index (47.3). Gemini 3.5 Flash (high) leads on Coding Index (70.1), Intelligence Index (52.0).

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

Provider. MBZUAI Institute of Foundation Models and Google sell to overlapping but distinct developer audiences: MBZUAI Institute of Foundation Models tends to ship frontier reasoning models with premium positioning, while Google often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

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

  • Aggregate benchmark score (sum across 12 categories, capped at 100): K2 Horizon 375B A23B = 109, Gemini 3.5 Flash (high) = 122. Within 15% — effectively equivalent if both meet the threshold your product requires.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
47.352.0
Coding Index
61.570.1
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
K2 Horizon 375B A23B0 wins
2 winsGemini 3.5 Flash (high)

Frequently Asked Questions

Which is cheaper, K2 Horizon 375B A23B or Gemini 3.5 Flash (high)?

Gemini 3.5 Flash (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $3.38/M tokens vs $—/M for K2 Horizon 375B A23B.

Which model performs better on benchmarks?

Gemini 3.5 Flash (high) wins 2 out of 12 benchmarks compared to 0 for K2 Horizon 375B A23B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Gemini 3.5 Flash (high) generates tokens faster at 205 tok/s vs — tok/s. However, Gemini 3.5 Flash (high) has lower time-to-first-token (15.26s vs —s).

When should I use K2 Horizon 375B A23B vs Gemini 3.5 Flash (high)?

Choose based on your priorities: Gemini 3.5 Flash (high) for lower cost, Gemini 3.5 Flash (high) for stronger benchmark performance, and Gemini 3.5 Flash (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.