vs
0:1
overall capability wins (2 ties across 3 scored). DeepSeek V4 Pro leads overall.
- Pricing0:3
- Specs0:1
Verdict
DeepSeek V4 Pro ships open weights (MIT); DeepSeek V4 Pro is ~1.2x cheaper on a blended token basis than DeepSeek V4 Flash Vision Exp.
- DeepSeek V4 Pro ships open weights (MIT)
- DeepSeek V4 Pro is ~1.2x cheaper on a blended token basis than DeepSeek V4 Flash Vision Exp
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- DeepSeek V4 Flash Vision Exp
- $0.77
- DeepSeek V4 Pro
- $0.65
DeepSeek V4 Pro is about 1.2x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
DeepSeek
DeepSeek
Family
DeepSeek
DeepSeek
License
Proprietary
MIT
Open weights
No
Yes
Release
Aug 21, 2026
Apr 24, 2026
Knowledge cutoff
-
-
API / provider
DeepSeek
DeepSeek
Modalities
text, image → text
text → text
Specs
Context window
1M
1M
Max output
384K
384K
Parameters
304B
1.6T (49B act.)
Pricing
Input $/1M
$0.44
$0.43
Output $/1M
$1.32
$0.87
Blended $/1M (3∶1)
$0.66
$0.54
Speed
tok/s
-
85
TTFT (s)
-
0.4
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
88.8
Humanity's Last Exam
—
37.5
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
43.0
AA-LCR v1.1
—
74.7
CritPt
—
12.9
MMMU-Pro
—
—
IFBench
—
76.5
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
64.0
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
50.8
CursorBench
—
—
SWE-Rebench
—
41.4
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
| Metric | DeepSeek V4 Flash Vision Exp | DeepSeek V4 Pro | Delta |
|---|---|---|---|
| Identity | |||
| Organization | DeepSeek | DeepSeek | — |
| Family | DeepSeek | DeepSeek | — |
| License | Proprietary | MIT | — |
| Open weights | No | Yes | — |
| Release | Aug 21, 2026 | Apr 24, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | DeepSeek | DeepSeek | — |
| Modalities | text, image → text | text → text | — |
| Specs | |||
| Context window | 1M | 1M | tie |
| Max output | 384K | 384K | tie |
| Parameters | 304B | 1.6T (49B act.) | B +1K |
| Pricing | |||
| Input $/1M | $0.44 | $0.43 | B +$0.005 |
| Output $/1M | $1.32 | $0.87 | B +$0.45 |
| Blended $/1M (3∶1) | $0.66 | $0.54 | B +$0.12 |
| Speed | |||
| tok/s | - | 85 | — |
| TTFT (s) | - | 0.4 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 88.8 | — |
| Humanity's Last Exam | — | 37.5 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 43.0 | — |
| AA-LCR v1.1 | — | 74.7 | — |
| CritPt | — | 12.9 | — |
| MMMU-Pro | — | — | — |
| IFBench | — | 76.5 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 64.0 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 50.8 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | 41.4 | — |
| 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 | — |
DeepSeek V4 Flash Vision Exp
- Context
- 1M / 384K out
- Parameters
- 304B
- Price
- $0.44 / $1.32 peak · $0.22 / $0.66 off-peak
- Speed
- —
- Modalities
- text, image → text
- License
- Proprietary
Experimental API-only vision variant of DeepSeek-V4-Flash-0731 (released Aug 21, 2026), adding image input (up to 600 images/request) while matching the text model on agents, reasoning, and world knowledge. Same rate card as V4-Flash: $0.44 in / $1.32 out peak, $0.22 / $0.66 off-peak, cache-hit $0.007 (per 1M). Benchmarks are DeepSeek's self-reported Harness numbers — close to but trailing Opus 4.8 on most rows (Terminal-Bench 2.1 83.9).
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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.