whichllmmodel
Back to Dashboard
DeepSeek

DeepSeek V4 Flash

VS
Mistral AI

Codestral 22B

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

👑 Editorial Verdict: DeepSeek V4 Flash strictly dominates Codestral 22B across all compared dimensions. It is not only more cost-effective (blended cost of $0.17 vs $0.45 per 1M tokens) but also delivers superior coding accuracy (49.1% vs 0% on SWE-bench). Unless you have platform lock-in, DeepSeek V4 Flash is the clear and optimal choice for all development workloads.

Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
49.1%
Reasoning (gpqa-diamond)Winner (+)
80%

Cost & Performance

Cost (per 1M tokens)2.6x cheaper
$0.17Input: $0.14 | Output: $0.28
Context WindowLarger
1M tokens
Model Specs

Codestral 22B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens
Read our data collection methodology

Frequently Asked Questions

DeepSeek V4 Flash is cheaper than Codestral 22B. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 2.6x cheaper than Codestral 22B at $0.45/1M tokens.

DeepSeek V4 Flash is better for coding tasks. It scores 49.1% on coding evaluations (swe-bench-pro) compared to Codestral 22B which scores N/A.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard