Compare/Mistral Medium vs Jamba 1.7 Large

Mistral MediumvsJamba 1.7 Large

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

Mistral

Mistral Medium

Input
$2.75/M
Output
$8.1/M
Speed
73 tok/s
TTFT
0.40s
AI21 Labs

Jamba 1.7 Large

Input
$2/M
Output
$8/M
Speed
54 tok/s
TTFT
0.86s

Winner by Category

Cheaper
Jamba 1.7 Large
Faster (tok/s)
Mistral Medium
Lower Latency
Mistral Medium
Benchmarks (0-12)
Jamba 1.7 Large

Pricing Comparison

MetricMistral MediumJamba 1.7 Large
Input ($/M tokens)$2.75$2
Output ($/M tokens)$8.1$8
Cost for 1M input + 100K output tokens:
Mistral Medium$3.56
Jamba 1.7 Large$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Medium
73 tok/s
Jamba 1.7 Large
54 tok/s
Time to First Token (seconds) — lower is better
Mistral Medium
0.40s
Jamba 1.7 Large
0.86s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.010.9
Coding Index
7.8
Math Index
2.3
GPQA Diamond
34.9%39.0%
MMLU-Pro
49.1%57.7%
LiveCodeBench
9.9%18.1%
AIME 2025
2.3%
MATH-500
40.5%60.0%
Humanity's Last Exam
3.4%3.8%
SciCode
11.8%18.8%
IFBench
35.2%
TerminalBench
2.3%
Mistral Medium0 wins
12 winsJamba 1.7 Large

Frequently Asked Questions

Which is cheaper, Mistral Medium or Jamba 1.7 Large?

Jamba 1.7 Large is cheaper overall. Its blended price (3:1 input/output ratio) is $3.50/M tokens vs $4.09/M for Mistral Medium.

Which model performs better on benchmarks?

Jamba 1.7 Large wins 12 out of 12 benchmarks compared to 0 for Mistral Medium. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Mistral Medium generates tokens faster at 73 tok/s vs 54 tok/s. Mistral Medium also has lower time-to-first-token (0.40s vs 0.86s).

When should I use Mistral Medium vs Jamba 1.7 Large?

Choose based on your priorities: Jamba 1.7 Large for lower cost, Jamba 1.7 Large for stronger benchmark performance, and Mistral Medium for faster generation. For latency-sensitive apps, check the TTFT comparison above.