Granite 4.2 8B vs Ling 3.0 Flash Sante
Too close to call on our weighted score (Granite 4.2 8B 64, Ling 3.0 Flash Sante 63). The right pick depends on what you value most.
IBMGranite 4.2 8B
64/100- ECI—
- Price$0.06 / $0.15
- Context131K
inclusionAILing 3.0 Flash Sante
63/100- ECI—
- Price$0.075 / $0.22
- Context262K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Granite 4.2 8B 64/100, Ling 3.0 Flash Sante 63/100), so choose by what matters most for your work: Granite 4.2 8B on price and Ling 3.0 Flash Sante for long inputs. 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 priceGranite 4.2 8BGranite 4.2 8B $0.083 · Ling 3.0 Flash Sante $0.111 per 1M tokens (3:1 blend)
- Longest contextLing 3.0 Flash SanteLing 3.0 Flash Sante 262,144 · Granite 4.2 8B 131,072 tokens
- Widest inputsSame inputsGranite 4.2 8B: Text · Ling 3.0 Flash Sante: Text
- Self-hostingGranite 4.2 8BPublishes downloadable weights
| Measure | Weight | Granite 4.2 8B | Ling 3.0 Flash Sante |
|---|---|---|---|
| Price | 50% | 97 | 91 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 25 | 37 |
| Overall | 100% | 64/100 | 63/100 |
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 | Granite 4.2 8BIBM | Ling 3.0 Flash SanteinclusionAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.06 (best) | $0.075 |
| Output | $0.15 (best) | $0.22 |
| Cached input | — | — |
| Blended (3:1) | $0.083 (best) | $0.111 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 2 providers |
| Limits | ||
| Context window | 131,072 tokens | 262,144 tokens (best) |
| Max output | 117,964 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | — |
| API providers | 7 (best) | 2 |
| Released | Aug 25, 2026 | Sep 4, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Granite 4.2 8B$0.90
- Ling 3.0 Flash Sante$1.19
Which should you choose?
Which is better: Granite 4.2 8B or Ling 3.0 Flash Sante?
It is close. Our weighted score puts them within a point (Granite 4.2 8B 64/100, Ling 3.0 Flash Sante 63/100), so choose by what matters most for your work: Granite 4.2 8B on price and Ling 3.0 Flash Sante for long inputs. 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, Granite 4.2 8B or Ling 3.0 Flash Sante?
Granite 4.2 8B is cheaper at $0.06 input / $0.15 output per million tokens (median across 7 API providers). Ling 3.0 Flash Sante costs $0.075 input / $0.22 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.083 per million tokens for Granite 4.2 8B versus $0.111 for Ling 3.0 Flash Sante (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Granite 4.2 8B has not been scored yet and Ling 3.0 Flash Sante has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Granite 4.2 8B and Ling 3.0 Flash Sante yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Ling 3.0 Flash Sante has the largest context window at 262,144 tokens, against 131,072 for Granite 4.2 8B. Maximum output per response: Granite 4.2 8B up to 117,964, Ling 3.0 Flash Sante up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Granite 4.2 8B accepts text; Ling 3.0 Flash Sante accepts text. They handle the same number of input types.
Are any of these open source?
Granite 4.2 8B publishes its weights and can be self-hosted; Ling 3.0 Flash Sante is proprietary.
Which is newer?
Ling 3.0 Flash Sante is the newest, released Sep 4, 2026. Granite 4.2 8B came out Aug 25, 2026.
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.
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