Llama 4 Maverick 17B Instruct vs DeepSeek V4 Flash
Side-by-side comparison across metrics, pricing, and overall score — every value traced to a source.
Verdict: DeepSeek V4 Flash ranks highest overall (#1) with a score of 70.9.
The best choice still depends on which metrics matter for your workload — per-metric winners are marked below.
What the numbers hide
Computed from the published values below — no estimates, no generated claims.
Fragile verdict
The overall winner flips to Llama 4 Maverick 17B Instruct if Max Output Tokens is weighted at 0% (it counts for 6% today). If max output tokens drives your decision, the ranking above may not be your ranking.
Fragile verdict
The overall winner flips to Llama 4 Maverick 17B Instruct if SWE-Bench Pro Score is weighted at 100% (it counts for 29% today). If swe-bench pro score drives your decision, the ranking above may not be your ranking.
What nobody reports
SWE-Bench Pro Score (1 of 2 missing) · Tokens per Wh (efficiency) (1 of 2 missing) · Input Price (1 of 2 missing) — the questions worth asking vendors directly.
AI hot take
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| Metric | Llama 4 Maverick 17B InstructMeta | DeepSeek V4 FlashDeepSeek |
|---|---|---|
| Overall OptiSift Score | 21.1#16 | 70.9#1 |
| Input Price | — | $0.14 |
| Output Price | — | $0.28 |
| Cache Read Price | — | $0 |
| Context Window | 1M | 1M |
| Max Output Tokens | 16K | 384K |
| SWE-Bench Pro Score | 5.24% | — |
| Tool Calling | Yes | Yes |
| Extended Reasoning | No | Yes |
| Tokens per Wh (efficiency) | 7,435 | — |
About these models
#16Llama 4 Maverick 17B Instruct
Meta
Llama 4 Maverick 17B Instruct is Meta's general-purpose model: 1M token context window, 5.24% on SWE-Bench Pro.
#1DeepSeek V4 Flash
DeepSeek
DeepSeek V4 Flash is DeepSeek's reasoning-capable model: $0.14/$0.28 per 1M input/output tokens, 1M token context window.