Is DeepSeek V3 0324 a good deal?
Whether anything in this catalogue beats DeepSeek V3 0324 on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.
13 undominated of 136 · Sep 23, 2026
As of Sep 23, 2026, DeepSeek V3 0324 is dominated for Balanced on LMArena. GLM 5.3 Flash scores 96.9 higher and costs 46% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated.
Inspect model evidence Compare differences & requirements
GLM 5.3 Flash is both better and cheaper than DeepSeek V3 0324: 96.9 points higher on LMArena and 46% less per million tokens, $0.20 cheaper at this mix.
LMArena Elo · higher is better
Scale starts at 1040 Elo
1375.0
Effective $/M · Balanced · lower is better
$0.438/M
LMArena Elo · higher is better
Scale starts at 1040 Elo
1471.9
Effective $/M · Balanced · lower is better
$0.237/M
DeepSeek V3 0324 takes text, returns up to 147,456 tokens from a 163,840-token context, and is listed by 3 sellers.
Compared against 136 rated, priced models on this lens: 4 models dominate it and give up nothing, 5 more dominate it but give something up. DeepSeek V3 0324 scores 1375 at $0.44 per million tokens for this mix.
Envelope-safe replacements
Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here.
| Model | LMArena | Effective $/M | You save |
|---|---|---|---|
| GLM 5.3 Flash | 1471.9 +96.9 | $0.237/M | 46% |
| Gemma 4 26B A4B | 1434.5 +59.5 | $0.143/M | 67% |
| DeepSeek V4 Flash 0423 | 1431.8 +56.8 | $0.103/M | 76% |
| Qwen3 235B A22B Instruct 2507 | 1419.8 +44.8 | $0.153/M | 65% |
Higher score, lower price, named losses
Not a drop-in. The loss is why these are not a recommendation.
| Model | LMArena | Effective $/M | You give up |
|---|---|---|---|
| Gemma 4 31B | 1441.7 | $0.153/M | max output |
| Hy3 | 1440.6 | $0.144/M | max output |
| MiMo-V2.5 | 1427.4 | $0.175/M | max output |
| DeepSeek V3.2 | 1424.8 | $0.302/M | max output |
| DeepSeek V3.2 Exp | 1422.6 | $0.305/M | max output |
The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link.
Saved decision references
Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications.
Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.
Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored.