Compare/Mistral Medium 3 vs Grok Build 0.1 0616

Mistral Medium 3vsGrok Build 0.1 0616

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

Mistral

Mistral Medium 3

Input
$0.4/M
Output
$2/M
Speed
54 tok/s
TTFT
1.45s
SpaceXAI

Grok Build 0.1 0616

Input
$1/M
Output
$2/M
Speed
55 tok/s
TTFT
0.51s

Winner by Category

Cheaper
Mistral Medium 3
Faster (tok/s)
Grok Build 0.1 0616
Lower Latency
Grok Build 0.1 0616
Benchmarks (0-2)
Grok Build 0.1 0616

Pricing Comparison

MetricMistral Medium 3Grok Build 0.1 0616
Input ($/M tokens)$0.4$1
Output ($/M tokens)$2$2
Cost for 1M input + 100K output tokens:
Mistral Medium 3$0.60
Grok Build 0.1 0616$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Medium 3
54 tok/s
Grok Build 0.1 0616
55 tok/s
Time to First Token (seconds) — lower is better
Mistral Medium 3
1.45s
Grok Build 0.1 0616
0.51s

Editorial Analysis

Verdict. Grok Build 0.1 0616 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 1.0× the per-million-token cost, Grok Build 0.1 0616 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Grok Build 0.1 0616 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Mistral Medium 3 is strongest on Intelligence Index (12.5). Grok Build 0.1 0616 leads on Coding Index (51.5), Intelligence Index (40.7).

Speed. Throughput is comparable — 54 tok/s vs 55 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.

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 Medium 3 costs $42.00 ($504/year); Grok Build 0.1 0616 costs $60.00 ($720/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Mistral Medium 3 ≈ $6.00/run, Grok Build 0.1 0616 ≈ $9.00/run. At agent/realtime scale (200M input / 100M output per million requests): Mistral Medium 3 ≈ $280/run, Grok Build 0.1 0616 ≈ $400/run. Mistral Medium 3 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
12.540.7
Coding Index
51.5
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Mistral Medium 30 wins
2 winsGrok Build 0.1 0616

Frequently Asked Questions

Which is cheaper, Mistral Medium 3 or Grok Build 0.1 0616?

Mistral Medium 3 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.80/M tokens vs $1.25/M for Grok Build 0.1 0616.

Which model performs better on benchmarks?

Grok Build 0.1 0616 wins 2 out of 12 benchmarks compared to 0 for Mistral Medium 3. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok Build 0.1 0616 generates tokens faster at 55 tok/s vs 54 tok/s. However, Grok Build 0.1 0616 has lower time-to-first-token (0.51s vs 1.45s).

When should I use Mistral Medium 3 vs Grok Build 0.1 0616?

Choose based on your priorities: Mistral Medium 3 for lower cost, Grok Build 0.1 0616 for stronger benchmark performance, and Grok Build 0.1 0616 for faster generation. For latency-sensitive apps, check the TTFT comparison above.