Solar Pro 3 vs Sarvam 105B
Too close to call on our weighted score (Solar Pro 3 53, Sarvam 105B 52). The right pick depends on what you value most.
Upstage
Solar Pro 3
53/100- ECI—
- Price$0.25 / $0.25
- Context131K
Sarvam AI
Sarvam 105B
52/100- ECI—
- Price$0.158 / $0.632
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (Solar Pro 3 53/100, Sarvam 105B 52/100), so choose by what matters most for your work: Solar Pro 3 on price. 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 priceSolar Pro 3Solar Pro 3 $0.25 · Sarvam 105B $0.276 per 1M tokens (3:1 blend)
- Longest contextAbout the sameSolar Pro 3 131,072 · Sarvam 105B 131,072 tokens
- Widest inputsSame inputsSolar Pro 3: Text · Sarvam 105B: Text
- Self-hostingSarvam 105BPublishes downloadable weights
| Measure | Weight | Solar Pro 3 | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 75 | 73 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 25 | 25 |
| Overall | 100% | 53/100 | 52/100 |
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 | Sarvam 105BSarvam AI | |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.25 | $0.158 (best) |
| Output | $0.25 (best) | $0.632 |
| Cached input | — | $0.053 |
| Blended (3:1) | $0.25 (best) | $0.276 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Upstage API | Official Sarvam AI API |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | Yeslow · medium · high |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | solar-pro3 | sarvam-105b |
| API providers | 4 (best) | 3 |
| Released | Jan 26, 2026 | Feb 18, 2026 |
| Knowledge cutoff | Jul 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Solar Pro 3$3.00
- Sarvam 105B$2.84
Which should you choose?
Which is better: Solar Pro 3 or Sarvam 105B?
It is close. Our weighted score puts them within 1 points (Solar Pro 3 53/100, Sarvam 105B 52/100), so choose by what matters most for your work: Solar Pro 3 on price. 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, Solar Pro 3 or Sarvam 105B?
Solar Pro 3 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). Sarvam 105B costs $0.158 input / $0.632 output per million tokens (official Sarvam AI API price). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 3 versus $0.276 for Sarvam 105B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Solar Pro 3 has not been scored yet and Sarvam 105B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Solar Pro 3 and Sarvam 105B 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?
Solar Pro 3 and Sarvam 105B share the same 131,072-token context window. Maximum output per response: Solar Pro 3 up to 8,192, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 3 accepts text; Sarvam 105B accepts text. They handle the same number of input types.
Are any of these open source?
Sarvam 105B publishes its weights and can be self-hosted; Solar Pro 3 is proprietary.
Which is newer?
Sarvam 105B is the newest, released Feb 18, 2026. Solar Pro 3 came out Jan 26, 2026. Knowledge cutoff: Solar Pro 3 Jul 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.