DeepSeek V4.1 Flash vs GPT-5.6 Terra
Select two models to compare their coding performance, pricing, and features.
Key Takeaways
| Metric | DeepSeek V4.1 Flash | GPT-5.6 Terra |
|---|---|---|
| Coding Index | — Score awaiting verification | 110.54 |
| Coding tier | A+? Provisional · source review pending | A+ |
| Input Price | $0.3/1M | $2/1M |
| Output Price | $1.2/1M | $12/1M |
| Context Window | 1.05M | 1.05M |
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Verdict
Qwen3.8 Max 0902 has a provisional A+ tier pending original-source review, with no numeric rank or comparable index. A transcribed AA index is not independent verification.
Capabilities & Use Cases Comparison
DeepSeek V4.1 Flash Tier A+
GPT-5.6 Terra Tier A+
- •Autonomous agentic workflows
- •Large-scale refactoring
- •System architecture design
- •Codex CLI complex tasks
- •Best-in-class deep reasoning for multi-file refactors
- •Excels at long-horizon agentic coding tasks
- •Superior architectural design and system planning
- •Strong tool-use and autonomous task completion
DeepSeek V4.1 Flash
Off-peak: $0.15 / $0.60 · 1M
Peak: Monday–Friday, UTC 01:00–04:00 and 06:00–10:00; off-peak at other times. Input prices assume a cache miss.
Benchmark evidence and ranking method · DeepSeek V4.1 Flash
Provisional · source review pending
DeepSeek V4.1 Flash is provisionally A+ by editorial judgment, with low confidence. Early community feedback is mixed; the concrete coding comparison concerns GLM-5.3 Flash, not GLM-5.3. No comparable independent Coding Index is available.
Hacker News 1Hacker News 2Hacker News 3
ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.
GPT-5.6 Terra
Benchmark evidence and ranking method · GPT-5.6 Terra
Cross-checked
Terminal-Bench 4.0 · Codex · max: 21.52% · 95% CI ± 3.25%
Artificial Analysis · GPT-5.6 Terra (max)
Test configuration: max
Terminal-Bench 2.1: 88.01% · SciCode: 54.98%
LiveBench · 2026-06-25 · gpt-5.6-terra-max
Coding: 78.25% · Agentic Coding: 54.95%
ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
API cost estimate
1M input + 200K output (USD):
DeepSeek V4.1 Flash: $0.5400
GPT-5.6 Terra: $4.4000
Estimates use the displayed channel and time band; DeepSeek uses peak rates. Cache discounts, tool fees, long-context price tiers and uncounted additional tokens are excluded.
Frequently Asked Questions
Which model is better for coding: DeepSeek V4.1 Flash or GPT-5.6 Terra?
A comparable reference index is unavailable for one or both models; no index-based winner is assigned. Editorial tiers: DeepSeek V4.1 Flash = A+ · Provisional · source review pending; GPT-5.6 Terra = A+. Tiers are separate editorial assessments and do not establish a reliable order within a tier.
How do DeepSeek V4.1 Flash and GPT-5.6 Terra compare in API pricing and costs?
DeepSeek V4.1 Flash: $0.3/1M input, $1.2/1M output (Official · peak); GPT-5.6 Terra: $2/1M input, $12/1M output (OpenRouter quote). 1M input + 200K output (USD): $0.5400 vs $4.4000.
What are the context window sizes of DeepSeek V4.1 Flash and GPT-5.6 Terra?
DeepSeek V4.1 Flash provides a 1,048,576 token context window, while GPT-5.6 Terra provides 1,050,000 tokens.