vs
2:11
overall capability wins (0 ties across 13 scored). GPT-5.6 Terra leads overall.
- Reasoning1:5
- Coding0:3
- Arena0:1
- Tool use0:1
- Composite indices0:2
- Pricing3:0
- Speed0:2
- Specs1:1
Verdict
GPT-5.6 Terra leads coding (widest gap: +75.5 on WebDev Elo); GPT-5.6 Terra ranks higher on LMArena (+9 Elo); GPT-5.6 Terra offers larger context (1.1M vs 1M).
- GPT-5.6 Terra leads coding (widest gap: +75.5 on WebDev Elo)
- GPT-5.6 Terra ranks higher on LMArena (+9 Elo)
- GPT-5.6 Terra offers larger context (1.1M vs 1M)
- DeepSeek V4 Pro allows ~3.0x more max output (384K vs 128K)
- DeepSeek V4 Pro ships open weights (MIT)
- DeepSeek V4 Pro is ~8.3x cheaper on a blended token basis than GPT-5.6 Terra
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- DeepSeek V4 Pro
- $0.65
- GPT-5.6 Terra
- $5
DeepSeek V4 Pro is about 7.7x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
DeepSeek
OpenAI
Family
DeepSeek
GPT-5.x
License
MIT
Proprietary
Open weights
Yes
No
Release
Apr 24, 2026
Jul 9, 2026
Knowledge cutoff
-
-
API / provider
DeepSeek
OpenAI
Modalities
text → text
text, image → text
Specs
Context window
1M
1.1M
Max output
384K
128K
Parameters
1.6T (49B act.)
—
Pricing
Input $/1M
$0.43
$2
Output $/1M
$0.87
$12
Blended $/1M (3∶1)
$0.54
$4.50
Speed
tok/s
85
135
TTFT (s)
0.4
0.3
Reasoning
MMLU-Pro
—
—
GPQA Diamond
88.8
92.5
Humanity's Last Exam
37.5
42.9
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
43.0
46.8
AA-LCR v1.1
74.7
83.0
CritPt
12.9
30.0
MMMU-Pro
—
80.7
IFBench
76.5
71.2
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
63.4
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
64.0
88.0
Aider Polyglot
—
—
Terminal-Bench 3
—
20.8
BigCodeBench
—
—
SciCode
50.8
55.0
CursorBench
—
64.9
SWE-Rebench
41.4
—
NL2Repo-Bench
38.5
—
DeepSWE
12.8
—
WebDev Arena
1,446
1,521
Terminal-Bench 4.0
—
21.5
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,457
1,466
| Metric | DeepSeek V4 Pro | GPT-5.6 Terra | Delta |
|---|---|---|---|
| Identity | |||
| Organization | DeepSeek | OpenAI | — |
| Family | DeepSeek | GPT-5.x | — |
| License | MIT | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Apr 24, 2026 | Jul 9, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | DeepSeek | OpenAI | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 1M | 1.1M | B +50K |
| Max output | 384K | 128K | A +256K |
| Parameters | 1.6T (49B act.) | — | — |
| Pricing | |||
| Input $/1M | $0.43 | $2 | A +$1.56 |
| Output $/1M | $0.87 | $12 | A +$11.13 |
| Blended $/1M (3∶1) | $0.54 | $4.50 | A +$3.96 |
| Speed | |||
| tok/s | 85 | 135 | B +50 |
| TTFT (s) | 0.4 | 0.3 | B +0.10 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 88.8 | 92.5 | B +3.7 pts |
| Humanity's Last Exam | 37.5 | 42.9 | B +5.4 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 43.0 | 46.8 | B +3.8 pts |
| AA-LCR v1.1 | 74.7 | 83.0 | B +8.3 pts |
| CritPt | 12.9 | 30.0 | B +17.1 pts |
| MMMU-Pro | — | 80.7 | — |
| IFBench | 76.5 | 71.2 | A +5.3 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | 63.4 | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 64.0 | 88.0 | B +24.0 pts |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | 20.8 | — |
| BigCodeBench | — | — | — |
| SciCode | 50.8 | 55.0 | B +4.2 pts |
| CursorBench | — | 64.9 | — |
| SWE-Rebench | 41.4 | — | — |
| NL2Repo-Bench | 38.5 | — | — |
| DeepSWE | 12.8 | — | — |
| WebDev Arena | 1,446 | 1,521 | B +76 Elo |
| Terminal-Bench 4.0 | — | 21.5 | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,457 | 1,466 | B +9 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.
GPT-5.6 Terra
- Context
- 1.1M / 128K out
- Parameters
- —
- Price
- $2 / $12
- Speed
- 135 tok/s · 0.3s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Balanced GPT-5.6 mid-tier for everyday work; July 30, 2026 API cut brought Standard rates to $2/$12 (20% lower), with strong throughput for the price.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.