Ling 3.0 Flash vs DiffusionGemma 26B A4B IT vs Nemotron 3.5 Lightning 30B A3B
DiffusionGemma 26B A4B IT comes out ahead, 75 to 68 and 65 on our weighted score, and it is the cheaper option too.
inclusionAILing 3.0 Flash
65/100- ECI—
- Price$0.06 / $0.18
- Context262K
- Our pick
GoogleDiffusionGemma 26B A4B IT
75/100- ECI—
- Price$0.05 / $0.15
- Context262K
NVIDIANemotron 3.5 Lightning 30B A3B
68/100- ECI—
- Price$0.055 / $0.20
- Context262K
DiffusionGemma 26B A4B IT is our pick
DiffusionGemma 26B A4B IT is the better all-round choice, scoring 75/100 against Nemotron 3.5 Lightning 30B A3B (68) and Ling 3.0 Flash (65). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceDiffusionGemma 26B A4B ITDiffusionGemma 26B A4B IT $0.075 · Ling 3.0 Flash $0.09 · Nemotron 3.5 Lightning 30B A3B $0.091 per 1M tokens (3:1 blend)
- Longest contextAbout the sameLing 3.0 Flash 262,144 · DiffusionGemma 26B A4B IT 262,144 · Nemotron 3.5 Lightning 30B A3B 262,144 tokens
- Widest inputsDiffusionGemma 26B A4B ITLing 3.0 Flash: Text · DiffusionGemma 26B A4B IT: Text, Images · Nemotron 3.5 Lightning 30B A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ling 3.0 Flash | DiffusionGemma 26B A4B IT | Nemotron 3.5 Lightning 30B A3B |
|---|---|---|---|---|
| Price | 50% | 95 | 99 | 95 |
| Inputs & features | 30% | 35 | 60 | 45 |
| Context window | 20% | 37 | 37 | 37 |
| Overall | 100% | 65/100 | 75/100 | 68/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Ling 3.0 FlashinclusionAI | DiffusionGemma 26B A4B ITGoogle | Nemotron 3.5 Lightning 30B A3BNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.06 | $0.05 (best) | $0.055 |
| Output | $0.18 | $0.15 (best) | $0.20 |
| Cached input | — | — | — |
| Blended (3:1) | $0.09 | $0.075 (best) | $0.091 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 1 providers | Median of 10 providers |
| Limits | |||
| Context window | 262,144 tokens | 262,144 tokens | 262,144 tokens |
| Max output | 32,768 tokens | 32,768 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenMIT | OpenApache 2.0 | Open |
| API model ID | — | — | nvidia/nemotron-3.5-lightning-30b-a3b |
| API providers | 9 | 2 | 15 (best) |
| Released | Jul 23, 2026 | Jun 9, 2026 | Aug 11, 2026 |
| Knowledge cutoff | — | Jan 2025 | Sep 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ling 3.0 Flash$0.96
- DiffusionGemma 26B A4B IT$0.80
- Nemotron 3.5 Lightning 30B A3B$0.95
Which should you choose?
Which is better: Ling 3.0 Flash, DiffusionGemma 26B A4B IT or Nemotron 3.5 Lightning 30B A3B?
DiffusionGemma 26B A4B IT is the better all-round choice, scoring 75/100 against Nemotron 3.5 Lightning 30B A3B (68) and Ling 3.0 Flash (65). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Ling 3.0 Flash, DiffusionGemma 26B A4B IT or Nemotron 3.5 Lightning 30B A3B?
DiffusionGemma 26B A4B IT is cheaper at $0.05 input / $0.15 output per million tokens (median across 1 API provider). Ling 3.0 Flash costs $0.06 input / $0.18 output per million tokens (median across 7 API providers); Nemotron 3.5 Lightning 30B A3B costs $0.055 input / $0.20 output per million tokens (median across 10 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.075 per million tokens for DiffusionGemma 26B A4B IT versus $0.09 for Ling 3.0 Flash (1.2× as much) and $0.091 for Nemotron 3.5 Lightning 30B A3B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ling 3.0 Flash has not been scored yet, DiffusionGemma 26B A4B IT has not been scored yet and Nemotron 3.5 Lightning 30B A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ling 3.0 Flash, DiffusionGemma 26B A4B IT and Nemotron 3.5 Lightning 30B A3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Ling 3.0 Flash, DiffusionGemma 26B A4B IT and Nemotron 3.5 Lightning 30B A3B share the same 262,144-token context window. Maximum output per response: Ling 3.0 Flash up to 32,768, DiffusionGemma 26B A4B IT up to 32,768, Nemotron 3.5 Lightning 30B A3B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Ling 3.0 Flash accepts text; DiffusionGemma 26B A4B IT accepts text and images; Nemotron 3.5 Lightning 30B A3B accepts text. DiffusionGemma 26B A4B IT handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (MIT and Apache 2.0), so you can self-host them.
Which is newer?
Nemotron 3.5 Lightning 30B A3B is the newest, released Aug 11, 2026. Ling 3.0 Flash came out Jul 23, 2026; DiffusionGemma 26B A4B IT came out Jun 9, 2026. Knowledge cutoff: DiffusionGemma 26B A4B IT Jan 2025, Nemotron 3.5 Lightning 30B A3B Sep 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
