vs
12:0
overall capability wins (1 ties across 13 scored). DeepSeek V4 Pro leads overall.
- Reasoning5:0
- Coding3:0
- Arena1:0
- Tool use1:0
- Composite indices2:0
- Pricing0:3
- Speed0:2
- Specs2:0
Verdict
DeepSeek V4 Pro leads coding (widest gap: +56.1 on TermBench); DeepSeek V4 Pro ranks higher on LMArena (+130 Elo); DeepSeek V4 Pro allows ~11.7x more max output (384K vs 33K).
- DeepSeek V4 Pro leads coding (widest gap: +56.1 on TermBench)
- DeepSeek V4 Pro ranks higher on LMArena (+130 Elo)
- DeepSeek V4 Pro allows ~11.7x more max output (384K vs 33K)
- Llama 4 Maverick is ~1.3x cheaper on a blended token basis than DeepSeek V4 Pro
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- DeepSeek V4 Pro
- $0.65
- Llama 4 Maverick
- $0.48
Llama 4 Maverick is about 1.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
DeepSeek
Meta
Family
DeepSeek
Llama / Muse
License
MIT
Llama 4 Community
Open weights
Yes
Yes
Release
Apr 24, 2026
Apr 5, 2025
Knowledge cutoff
-
-
API / provider
DeepSeek
Together / Fireworks (ref.)
Modalities
text → text
text, image → text
Specs
Context window
1M
1M
Max output
384K
33K
Parameters
1.6T (49B act.)
400B (17B act.)
Pricing
Input $/1M
$0.43
$0.27
Output $/1M
$0.87
$0.85
Blended $/1M (3∶1)
$0.54
$0.42
Speed
tok/s
85
95
TTFT (s)
0.4
0.35
Reasoning
MMLU-Pro
—
80.5
GPQA Diamond
88.8
67.1
Humanity's Last Exam
37.5
4.9
AIME 2025
—
19.3
MATH-500
—
88.9
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
43.0
24.9
AA-LCR v1.1
74.7
50.0
CritPt
12.9
—
MMMU-Pro
—
62.1
IFBench
76.5
43.0
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
21.0
SWE-bench Pro
—
5.2
SWE-bench Multilingual
—
—
LiveCodeBench
—
43.4
Terminal-Bench 2.1
64.0
7.9
Aider Polyglot
—
15.6
Terminal-Bench 3
—
—
BigCodeBench
—
49.7
SciCode
50.8
31.7
CursorBench
—
—
SWE-Rebench
41.4
11.0
NL2Repo-Bench
38.5
—
DeepSWE
12.8
—
WebDev Arena
1,446
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,457
1,327
| Metric | DeepSeek V4 Pro | Llama 4 Maverick | Delta |
|---|---|---|---|
| Identity | |||
| Organization | DeepSeek | Meta | — |
| Family | DeepSeek | Llama / Muse | — |
| License | MIT | Llama 4 Community | — |
| Open weights | Yes | Yes | — |
| Release | Apr 24, 2026 | Apr 5, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | DeepSeek | Together / Fireworks (ref.) | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 1M | 1M | tie |
| Max output | 384K | 33K | A +351K |
| Parameters | 1.6T (49B act.) | 400B (17B act.) | A +1K |
| Pricing | |||
| Input $/1M | $0.43 | $0.27 | B +$0.16 |
| Output $/1M | $0.87 | $0.85 | B +$0.02 |
| Blended $/1M (3∶1) | $0.54 | $0.42 | B +$0.13 |
| Speed | |||
| tok/s | 85 | 95 | B +10 |
| TTFT (s) | 0.4 | 0.35 | B +0.05 |
| Reasoning | |||
| MMLU-Pro | — | 80.5 | — |
| GPQA Diamond | 88.8 | 67.1 | A +21.7 pts |
| Humanity's Last Exam | 37.5 | 4.9 | A +32.6 pts |
| AIME 2025 | — | 19.3 | — |
| MATH-500 | — | 88.9 | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 43.0 | 24.9 | A +18.1 pts |
| AA-LCR v1.1 | 74.7 | 50.0 | A +24.7 pts |
| CritPt | 12.9 | — | — |
| MMMU-Pro | — | 62.1 | — |
| IFBench | 76.5 | 43.0 | A +33.5 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | 21.0 | — |
| SWE-bench Pro | — | 5.2 | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | 43.4 | — |
| Terminal-Bench 2.1 | 64.0 | 7.9 | A +56.1 pts |
| Aider Polyglot | — | 15.6 | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | 49.7 | — |
| SciCode | 50.8 | 31.7 | A +19.1 pts |
| CursorBench | — | — | — |
| SWE-Rebench | 41.4 | 11.0 | A +30.4 pts |
| NL2Repo-Bench | 38.5 | — | — |
| DeepSWE | 12.8 | — | — |
| WebDev Arena | 1,446 | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,457 | 1,327 | A +130 Elo |
DeepSeek V4 Pro
- Context
- 1M / 384K out
- Parameters
- 1.6T (49B act.)
- Price
- $0.43 / $0.87
- Speed
- 85 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- MIT
Open-weight frontier MoE - exceptional quality-per-dollar with MIT license and 1M context. Scores shown are the original preview; the GA 0813 release improves agentic coding substantially.
Llama 4 Maverick
- Context
- 1M / 33K out
- Parameters
- 400B (17B act.)
- Price
- $0.27 / $0.85
- Speed
- 95 tok/s · 0.35s TTFT
- Modalities
- text, image → text
- License
- Llama 4 Community
Meta's open multimodal MoE flagship - 400B total / 17B active with 1M context.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.