OpenAI
GPT-5.6 Terra
- Benchmark records
- 9
- Snapshot
- 2026-07-30
Independent model comparison
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
1 benchmark record share an exact reviewed comparison key.
Evidence strength
Limited exact coverage
The page is useful for inspection but does not yet contain enough pair-native evidence for Search publication.
Models at a glance
OpenAI
Moonshot AI
| Detail | GPT-5.6 Terra | Kimi K2.5 |
|---|---|---|
| Provider |
OpenAI |
Moonshot AI |
| Release date Shown only where an exact reviewed release date is available. |
Not verified |
2026-01-27 |
| Input price Artificial Analysis operational reference; see the attributed details below. |
Not verified |
$0.60 / 1M tokens |
| Output price Artificial Analysis operational reference; see the attributed details below. |
Not verified |
$3.00 / 1M tokens |
| Median output speed Artificial Analysis operational reference; see the attributed details below. |
Not verified |
49.8 tok/s |
| Exact benchmark coverage Only records carrying the same reviewed comparison identity are counted. |
1 shared record |
1 shared record |
Price and speed appear only when an exact reviewed operational reference is attached to that model identity.
Primary comparison 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.
A 12-month performance-marketing simulation scored on business outcomes, planning, behavior, and persona fit.
GPT-5.6 Terra
4 configurations
Average ROASBench score
Configuration: 4 configurations compared separately
Spring Prompt · Reviewed public-catalogue SQLite projection · 12-month simulation
Kimi K2.5
13.10
Average ROASBench score
Configuration: MoonshotAI: Kimi K2.5
Spring Prompt · Reviewed public-catalogue SQLite projection · 12-month simulation
Secondary context · not head-to-head
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
These facts retain their source, date, protocol, and model identity. They are contextual model-level signals—not a Spring Prompt overall score.
No reviewed Artificial Analysis record is attached to this model snapshot.
Input price
$0.60 / 1M tokens
Representative configuration on the cited source page.
Artificial Analysis · as of 16 Jul 2026
Output price
$3.00 / 1M tokens
Representative configuration on the cited source page.
Artificial Analysis · as of 16 Jul 2026
Median output speed
49.8 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
Recurring themes from each model's declared observation window. They are not a representative survey and are not direct comparisons between these models.
No editor-reviewed Reddit opinions paragraph is active for this model snapshot.
Initial community opinions
The search-indexed launch-window sample treated Kimi K2.5 as a capable open-weight option for coding, vision, and agent workflows, particularly when instructions were explicit. Recurring limitations included uneven non-coding style, occasional hallucination reports in particular hosts, and hardware demands that placed meaningful self-hosting outside ordinary consumer setups.
Source venue: Reddit · window: 2026-01-27 to 2026-02-10 · observed items: 4
Independent early-test reports
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.
No editor-reviewed X field-test paragraph is active for this model snapshot.
Early technical field tests
Early Kimi K2.5 field reports highlighted multimodal tool use and parallel-agent workflows. One tester exercised more than one hundred interleaved image and tool calls, while another used the model in Kimi Code for parallel research and software work and found that software tasks benefited from more deliberate system prompts and sub-agent coordination. The evidence suggests high orchestration potential with host and configuration sensitivity.
Source venue: X · window: 2026-01-27 to 2026-02-10 · 2 tests · 2 independent authors · 2 with a method or artifact · identity reviewed
X field tests remain separate from Reddit community opinions, Artificial Analysis facts, and every scored benchmark.
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.