DeepSeek
DeepSeek V3.1 Terminus
- Benchmark records
- 0
- Snapshot
- 2026-07-16
Independent model comparison
DeepSeek V3.1 Terminus vs GPT-5.6 Sol: evidence side by side
Compare the models using only evidence that can be identified and attributed. Exact benchmark matches appear first; independent facts and user reports remain separate and do not create an overall ranking.
Exact comparison coverage
No benchmark records currently share an exact reviewed comparison key.
Evidence strength
No exact benchmark match
Model-level evidence is kept separate until a compatible comparison record is available.
Models at a glance
Key differences
OpenAI
GPT-5.6 Sol
- Benchmark records
- 9
- Snapshot
- 2026-07-30
- Release date
- 2026-07-09
| Detail | DeepSeek V3.1 Terminus | GPT-5.6 Sol |
|---|---|---|
| Provider |
DeepSeek |
OpenAI |
| Release date Shown only where an exact reviewed release date is available. |
Not verified |
2026-07-09 |
| Input price Artificial Analysis operational reference; see the attributed details below. |
Not verified |
$5.00 / 1M tokens |
| Output price Artificial Analysis operational reference; see the attributed details below. |
Not verified |
$30.00 / 1M tokens |
| Median output speed Artificial Analysis operational reference; see the attributed details below. |
Not verified |
55.9 tok/s |
| Exact benchmark coverage Only records carrying the same reviewed comparison identity are counted. |
0 shared records |
0 shared records |
Price and speed appear only when an exact reviewed operational reference is attached to that model identity.
Primary comparison evidence
Exact matched benchmark evidence
A shared benchmark name is not enough. A result appears side by side only when both model records carry the same reviewed comparison key. Duplicate or unversioned records are omitted rather than guessed into alignment.
No exact benchmark match yet
Each model may still have useful individual evidence on its profile, but those records cannot be treated as a direct comparison until their benchmark and protocol identities align.
Secondary context · not head-to-head
Independent signals for each model
The sources below evaluated or discussed each model independently. Putting them in adjacent columns makes them easier to inspect, but it does not make their metrics, samples, or observations directly comparable.
Attributed third-party facts
Artificial Analysis details
These facts retain their source, date, protocol, and model identity. They are contextual model-level signals—not a Spring Prompt overall score.
DeepSeek V3.1 Terminus
No reviewed Artificial Analysis record is attached to this model snapshot.
GPT-5.6 Sol
Input price
$5.00 / 1M tokens
Representative configuration on the cited source page.
Artificial Analysis · as of 16 Jul 2026
Output price
$30.00 / 1M tokens
Representative configuration on the cited source page.
Artificial Analysis · as of 16 Jul 2026
Median output speed
55.9 tok/s
Median output tokens received per second after generation begins; this excludes time to first token and is not end-to-end response latency.
Artificial Analysis · as of 16 Jul 2026
Anecdotal model-level reports
Initial community opinions from Reddit
Recurring themes from each model's declared observation window. They are not a representative survey and are not direct comparisons between these models.
DeepSeek V3.1 Terminus
No editor-reviewed Reddit opinions paragraph is active for this model snapshot.
GPT-5.6 Sol
Initial community opinions
The search-indexed launch-window sample highlighted GPT-5.6 Sol's autonomous code review, broad bug discovery, project comprehension, and promising frontend output. Counter-reports focused on heavy quota use, slow execution, overengineering, guardrail interference, rollout friction, and occasional basic mistakes. Strong initial results therefore sat alongside unresolved cost and consistency concerns.
Source venue: Reddit · window: 2026-07-09 to 2026-07-23 · observed items: 4
Independent early-test reports
Early technical field tests from X
Editor-paraphrased reports from independent authors in each model's fixed 14-day launch window. These selectively surfaced anecdotes are not direct head-to-head tests unless they also appear in the dedicated direct-report section above.
DeepSeek V3.1 Terminus
Early technical field tests
Early DeepSeek V3.1 Terminus evidence pointed to better instruction following and long-context reasoning than the preceding V3.1 release. A separate two-needle long-text comparison supplied a narrower practical check and response logs while showing that results depended on reasoning mode and task design. The launch-window evidence was encouraging but concentrated in benchmark-style evaluation rather than broad production workflows.
Source venue: X · window: 2025-09-22 to 2025-10-06 · 2 tests · 2 independent authors · 2 with a method or artifact · identity reviewed
GPT-5.6 Sol
No editor-reviewed X field-test paragraph is active for this model snapshot.
X field tests remain separate from Reddit community opinions, Artificial Analysis facts, and every scored benchmark.
How to read this comparison
Spring Prompt does not name an overall winner from unrelated benchmark scores, third-party metrics, Reddit opinions, or X field-test reports.
Different benchmarks measure different constructs and may use different populations, prompts, harnesses, model revisions, tools, and score scales. This page does not average those values or infer a winner from source coverage. Test both models on your own production work before making a consequential choice.