Model comparison
DeepSeek R1 Distill Qwen 32B vs Ling 2.6 Flash
Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek R1 Distill Qwen 32B #160 (Estimated); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek R1 Distill Qwen 32B and Ling 2.6 Flash share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek R1 Distill Qwen 32B; 12 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 6
- DeepSeek R1 Distill Qwen 32B only
- 0
- Ling 2.6 Flash only
- 12
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek R1 Distill Qwen 32B and Ling 2.6 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Ling 2.6 Flash has the larger context window at 262K, compared with 128K for DeepSeek R1 Distill Qwen 32B.
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 R1 Distill Qwen 32B | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | Ling 2.6 Flash27.0 |
| Knowledge | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | Ling 2.6 Flash59.0 |
| Inst. Following | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek R1 Distill Qwen 32B | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek R1 Distill Qwen 32B$0 input / $0 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek R1 Distill Qwen 32B60 tok/s | Ling 2.6 Flash209.5 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek R1 Distill Qwen 32B0.84 s | Ling 2.6 Flash1.07 s | DeepSeek R1 Distill Qwen 32B reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek R1 Distill Qwen 32B128K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Ling 2.6 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.0% | 14.1% | Ling 2.6 Flash leads |
| AA-GPQA DiamondSource | 61.5% | 59.3% | DeepSeek R1 Distill Qwen 32B leads |
| AA-HLESource | 5.5% | 6.2% | Ling 2.6 Flash leads |
| GPQASource | — | 59% | Not comparable |
| AA-Omniscience IndexSource | — | -65.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 15.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 95.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek R1 Distill Qwen 32B and Ling 2.6 Flash on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for DeepSeek R1 Distill Qwen 32B and Ling 2.6 Flash today?
DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 output per 1M tokens Ling 2.6 Flash: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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