Compare/Mistral Large 2 (Jul '24) vs Grok 4.5 (high)

Mistral Large 2 (Jul '24)vsGrok 4.5 (high)

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

Mistral

Mistral Large 2 (Jul '24)

Input
$2/M
Output
$6/M
Speed
TTFT
SpaceXAI

Grok 4.5 (high)

Input
$2/M
Output
$6/M
Speed
64 tok/s
TTFT
5.85s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Grok 4.5 (high)
Lower Latency
Grok 4.5 (high)
Benchmarks (0-2)
Grok 4.5 (high)

Pricing Comparison

MetricMistral Large 2 (Jul '24)Grok 4.5 (high)
Input ($/M tokens)$2$2
Output ($/M tokens)$6$6
Cost for 1M input + 100K output tokens:
Mistral Large 2 (Jul '24)$2.60
Grok 4.5 (high)$2.60

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Large 2 (Jul '24)
Grok 4.5 (high)
64 tok/s
Time to First Token (seconds) — lower is better
Mistral Large 2 (Jul '24)
Grok 4.5 (high)
5.85s

Editorial Analysis

Verdict. Grok 4.5 (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. Both models sit in the mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Grok 4.5 (high) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Grok 4.5 (high) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Mistral Large 2 (Jul '24) is strongest on Intelligence Index (7.0). Grok 4.5 (high) leads on Coding Index (72.4), Intelligence Index (55.8).

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

Provider. Mistral and SpaceXAI sell to overlapping but distinct developer audiences: Mistral tends to ship frontier reasoning models with premium positioning, while SpaceXAI 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): Mistral Large 2 (Jul '24) costs $150.00 ($1800/year); Grok 4.5 (high) costs $150.00 ($1800/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Mistral Large 2 (Jul '24) ≈ $22.00/run, Grok 4.5 (high) ≈ $22.00/run. At agent/realtime scale (200M input / 100M output per million requests): Mistral Large 2 (Jul '24) ≈ $1000/run, Grok 4.5 (high) ≈ $1000/run.

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
7.055.8
Coding Index
72.4
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Mistral Large 2 (Jul '24)0 wins
2 winsGrok 4.5 (high)

Frequently Asked Questions

Which is cheaper, Mistral Large 2 (Jul '24) or Grok 4.5 (high)?

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

Which model performs better on benchmarks?

Grok 4.5 (high) wins 2 out of 12 benchmarks compared to 0 for Mistral Large 2 (Jul '24). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok 4.5 (high) generates tokens faster at 64 tok/s vs — tok/s. However, Grok 4.5 (high) has lower time-to-first-token (5.85s vs —s).

When should I use Mistral Large 2 (Jul '24) vs Grok 4.5 (high)?

Choose based on your priorities: both are similarly priced, Grok 4.5 (high) for stronger benchmark performance, and Grok 4.5 (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.