Compare/Pixtral Large vs Grok 4.20 0309 (Reasoning)

Pixtral LargevsGrok 4.20 0309 (Reasoning)

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

Mistral

Pixtral Large

Input
$2/M
Output
$6/M
Speed
56 tok/s
TTFT
0.49s
xAI

Grok 4.20 0309 (Reasoning)

Input
$2/M
Output
$6/M
Speed
90 tok/s
TTFT
31.35s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Grok 4.20 0309 (Reasoning)
Lower Latency
Pixtral Large
Benchmarks (5-7)
Grok 4.20 0309 (Reasoning)

Pricing Comparison

MetricPixtral LargeGrok 4.20 0309 (Reasoning)
Input ($/M tokens)$2$2
Output ($/M tokens)$6$6
Cost for 1M input + 100K output tokens:
Pixtral Large$2.60
Grok 4.20 0309 (Reasoning)$2.60

Speed Comparison

Output Speed (tokens/s) — higher is better
Pixtral Large
56 tok/s
Grok 4.20 0309 (Reasoning)
90 tok/s
Time to First Token (seconds) — lower is better
Pixtral Large
0.49s
Grok 4.20 0309 (Reasoning)
31.35s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
14.048.5
Coding Index
42.2
Math Index
2.3
GPQA Diamond
50.5%88.5%
MMLU-Pro
70.1%
LiveCodeBench
26.1%
AIME 2025
2.3%
MATH-500
71.4%
Humanity's Last Exam
3.6%30.0%
SciCode
29.2%44.7%
IFBench
34.5%82.9%
TerminalBench
40.9%
Pixtral Large5 wins
7 winsGrok 4.20 0309 (Reasoning)

Frequently Asked Questions

Which is cheaper, Pixtral Large or Grok 4.20 0309 (Reasoning)?

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

Which model performs better on benchmarks?

Grok 4.20 0309 (Reasoning) wins 7 out of 12 benchmarks compared to 5 for Pixtral Large. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok 4.20 0309 (Reasoning) generates tokens faster at 90 tok/s vs 56 tok/s. Pixtral Large also has lower time-to-first-token (0.49s vs 31.35s).

When should I use Pixtral Large vs Grok 4.20 0309 (Reasoning)?

Choose based on your priorities: both are similarly priced, Grok 4.20 0309 (Reasoning) for stronger benchmark performance, and Grok 4.20 0309 (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.