Sarvam-M vs Solar Pro 2 vs Tiny Aya Earth
Solar Pro 2 comes out ahead, 26 to 15 and 6 on our weighted score, and it is the cheaper option too.
Sarvam AI
Sarvam-M
6/100- ECI—
- Price—
- Context33K
- Our pick
UpstageSolar Pro 2
26/100- ECI—
- Price$0.25 / $0.25
- Context66K
CohereTiny Aya Earth
15/100- ECI—
- Price—
- Context8K
Solar Pro 2 is our pick
Solar Pro 2 is the better all-round choice, scoring 26/100 against Tiny Aya Earth (15) and Sarvam-M (6). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 2Solar Pro 2 $0.25 per 1M tokens (3:1 blend) · Sarvam-M and Tiny Aya Earth unpriced
- Longest contextSolar Pro 2Solar Pro 2 65,536 · Sarvam-M 32,768 · Tiny Aya Earth 8,000 tokens
- Widest inputsSame inputsSarvam-M: Text · Solar Pro 2: Text · Tiny Aya Earth: Text
- Self-hostingSarvam-M and Tiny Aya EarthPublishes downloadable weights (Apache 2.0 and CC-BY-NC-4.0)
| Measure | Weight | Sarvam-M | Solar Pro 2 | Tiny Aya Earth |
|---|---|---|---|---|
| Inputs & features | 60% | 10 | 35 | 25 |
| Context window | 40% | 0 | 12 | 0 |
| Overall | 100% | 6/100 | 26/100 | 15/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Sarvam-MSarvam AI | Solar Pro 2Upstage | Tiny Aya EarthCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.25 | — |
| Output | — | $0.25 | — |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.25 | — |
| Long-context rate | — | Same rate | — |
| Price source | — | Official Upstage API | — |
| Limits | |||
| Context window | 32,768 tokens | 65,536 tokens (best) | 8,000 tokens |
| Max output | 32,768 tokens (best) | 8,192 tokens | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yesminimal · high | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | OpenCC-BY-NC-4.0 |
| API model ID | — | solar-pro2 | tiny-aya-earth |
| API providers | — | 2 (best) | 1 |
| Released | May 20, 2025 | May 20, 2025 | Feb 17, 2026 |
| Knowledge cutoff | — | Mar 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Sarvam-M—
- Solar Pro 2$3.00
- Tiny Aya Earth—
Which should you choose?
Which is better: Sarvam-M, Solar Pro 2 or Tiny Aya Earth?
Solar Pro 2 is the better all-round choice, scoring 26/100 against Tiny Aya Earth (15) and Sarvam-M (6). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Sarvam-M, Solar Pro 2 or Tiny Aya Earth?
Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). . At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus . Sarvam-M and Tiny Aya Earth has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Sarvam-M has not been scored yet, Solar Pro 2 has not been scored yet and Tiny Aya Earth has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Sarvam-M, Solar Pro 2 and Tiny Aya Earth yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sarvam-M does not support tool calling, which most coding agents need.
Which has the bigger context window?
Solar Pro 2 has the largest context window at 65,536 tokens, against 32,768 for Sarvam-M and 8,000 for Tiny Aya Earth. Maximum output per response: Sarvam-M up to 32,768, Solar Pro 2 up to 8,192, Tiny Aya Earth up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Sarvam-M accepts text; Solar Pro 2 accepts text; Tiny Aya Earth accepts text. They handle the same number of input types.
Are any of these open source?
Sarvam-M and Tiny Aya Earth publishes its weights (Apache 2.0 and CC-BY-NC-4.0) and can be self-hosted; Solar Pro 2 is proprietary.
Which is newer?
Tiny Aya Earth is the newest, released Feb 17, 2026. Sarvam-M came out May 20, 2025; Solar Pro 2 came out May 20, 2025. Knowledge cutoff: Solar Pro 2 Mar 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.
