Model comparison
DeepSeek V3.2 vs Inkling
Head-to-head evidence from 9 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: DeepSeek V3.2 unranked; Inkling #17
BenchAlign evidence: DeepSeek V3.2 supported; Inkling not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Inkling share 9 comparable benchmark results. 2 of 8 categories are comparable. 11 results are unique to DeepSeek V3.2; 23 to Inkling.
Updated July 16, 2026- Shared results
- 9
- DeepSeek V3.2 only
- 11
- Inkling only
- 23
- Comparable categories
- 2 / 8
Pick Inkling if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Inkling is clearly ahead on the provisional aggregate, 72 to 54. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Inkling's sharpest advantage is in mathematics, where it averages 97.1 against 17.1.
Inkling is also the more expensive model on tokens at $1.87 input / $4.68 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 11.1x on output cost alone. Inkling is the reasoning model in the pair, while DeepSeek V3.2 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Inkling gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V3.2 | Δ | Inkling |
|---|---|---|---|
| Math | DeepSeek V3.217.1 | Margin→ 80.0 | Inkling97.1 |
| Coding | DeepSeek V3.260.9 | Margin→ 7.7 | Inkling68.6 |
| Agentic | DeepSeek V3.2Not measured | MarginNo overlap | Inkling69.4 |
| Knowledge | DeepSeek V3.2Not measured | MarginNo overlap | Inkling51.7 |
| Multimodal | DeepSeek V3.2Not measured | MarginNo overlap | Inkling76.5 |
| Inst. Following | DeepSeek V3.2Not measured | MarginNo overlap | Inkling79.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | Inkling | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Inkling$1.87 input / $4.68 output | DeepSeek V3.2 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | InklingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | InklingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Inkling1M | Inkling lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | DeepSeek V3.2 | Inkling | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | — | Not comparable |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | — | Not comparable |
| Gert LabsSource | 29.57% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 63.8% | Not comparable |
| BrowseCompSource | — | 77.1% | Not comparable |
| MCP AtlasSource | — | 74.1% | Not comparable |
| Design Arena Agentic Web DevSource | — | 1258 | Not comparable |
| AA Agentic IndexSource | — | 32.3% | Not comparable |
| GDPval-AASource | — | 36.9% | Not comparable |
| GDPval-AASource | — | 1239 | Not comparable |
| AA BriefcaseSource | — | 836 | Not comparable |
| AA Tau3 BankingSource | — | 23.7% | Not comparable |
CodingInkling wins8 benchmarks
| Benchmark | DeepSeek V3.2 | Inkling | Result |
|---|---|---|---|
| SWE-RebenchSource | 60.9% | — | Not comparable |
| React Native EvalsSource | 71.5% | — | Not comparable |
| Terminal-Bench HardSource | 32.6% | — | Not comparable |
| AA-SciCodeSource | 38.7% | 46.1% | Inkling leads |
| SWE-bench VerifiedSource | — | 77.6% | Not comparable |
| SWE-bench ProSource | — | 54.3% | Not comparable |
| Terminal-Bench 2.0Source | — | 63.8% | Not comparable |
| AA Coding IndexSource | — | 52.1% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | DeepSeek V3.2 | Inkling | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 40.7% | Inkling leads |
| AA-GPQA DiamondSource | 75.1% | 87.2% | Inkling leads |
| AA-HLESource | 10.5% | 29.7% | Inkling leads |
| AA-Omniscience IndexSource | -46.7% | 2.1% | Inkling leads |
| AA-Omniscience AccuracySource | 24.2% | 40.0% | Inkling leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 63.1% | Inkling leads |
| GPQASource | — | 87.9% | Not comparable |
| GPQA-DSource | — | 87.9% | Not comparable |
| HLESource | — | 46% | Not comparable |
| HLE w/o toolsSource | — | 30% | Not comparable |
MathInkling wins3 benchmarks
Multimodal5 benchmarks
Frequently Asked Questions (3)
Which is better, DeepSeek V3.2 or Inkling?
Inkling is ahead on BenchLM's provisional leaderboard, 72 to 54.
Which is better for coding, DeepSeek V3.2 or Inkling?
Inkling has the edge for coding in this comparison, averaging 68.6 versus 60.9. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V3.2 or Inkling?
Inkling has the edge for math in this comparison, averaging 97.1 versus 17.1. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.
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