Model comparison
GPT-OSS 120B vs Ling 3.0 Flash
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-OSS 120B #122 (Supported); Ling 3.0 Flash unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 120B and Ling 3.0 Flash share 0 comparable benchmark results. 0 of 8 categories are comparable. 25 results are unique to GPT-OSS 120B; 0 to Ling 3.0 Flash.
Updated July 24, 2026- Shared results
- 0
- GPT-OSS 120B only
- 25
- Ling 3.0 Flash only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 120B and Ling 3.0 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for Ling 3.0 Flash yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Ling 3.0 Flash has the larger context window at 262K, compared with 128K for GPT-OSS 120B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 120B | Ling 3.0 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 120B$0 input / $0 output | Ling 3.0 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-OSS 120B262 tok/s | Ling 3.0 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-OSS 120B0.79 s | Ling 3.0 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-OSS 120B128K | Ling 3.0 Flash262K | Ling 3.0 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | GPT-OSS 120B | Ling 3.0 Flash | Result |
|---|---|---|---|
| AA Agentic IndexSource | 13.2% | — | Not comparable |
| APEX-Agents-AASource | 3.1% | — | Not comparable |
| τ²-bench resultsSource | 65.8% | — | Not comparable |
| GDPval-AASource | 15.1% | — | Not comparable |
| GDPval-AASource | 802 | — | Not comparable |
| Gert LabsSource | 29.61% | — | Not comparable |
| AA ITBenchSource | 5.6% | — | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-OSS 120B | Ling 3.0 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.8% | — | Not comparable |
| AA-GPQA DiamondSource | 78.2% | — | Not comparable |
| AA-HLESource | 18.5% | — | Not comparable |
| AA-Omniscience IndexSource | -50.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 21.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 91.2% | — | Not comparable |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| AA MMLU-ProSource | 80.8% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-OSS 120B | Ling 3.0 Flash | Result |
|---|---|---|---|
| AA AIME 2025Source | 93.4% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | GPT-OSS 120B | Ling 3.0 Flash | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 82.8% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-OSS 120B | Ling 3.0 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 998 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 120B | Ling 3.0 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 69.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-OSS 120B and Ling 3.0 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 GPT-OSS 120B and Ling 3.0 Flash today?
GPT-OSS 120B: $0.00 input / $0.00 output per 1M tokens Ling 3.0 Flash: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.