Sarvam 30B vs Qwen3.5 122B-A10B vs Tiny Aya Earth
Qwen3.5 122B-A10B comes out ahead, 63 to 31 and 15 on our weighted score, and it is the cheaper option too.
Sarvam AI
Sarvam 30B
31/100- ECI—
- Price—
- Context128K
- Our pick
Alibaba (Qwen)Qwen3.5 122B-A10B
63/100- ECI—
- Price$0.40 / $3.20
- Context262K
CohereTiny Aya Earth
15/100- ECI—
- Price—
- Context8K
Qwen3.5 122B-A10B is our pick
Qwen3.5 122B-A10B is the better all-round choice, scoring 63/100 against Sarvam 30B (31) and Tiny Aya Earth (15). 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 priceQwen3.5 122B-A10BQwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend) · Sarvam 30B and Tiny Aya Earth unpriced
- Longest contextQwen3.5 122B-A10BQwen3.5 122B-A10B 262,144 · Sarvam 30B 128,000 · Tiny Aya Earth 8,000 tokens
- Widest inputsQwen3.5 122B-A10BSarvam 30B: Text · Qwen3.5 122B-A10B: Text, Images, Video · Tiny Aya Earth: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Sarvam 30B | Qwen3.5 122B-A10B | Tiny Aya Earth |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 80 | 25 |
| Context window | 40% | 24 | 37 | 0 |
| Overall | 100% | 31/100 | 63/100 | 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 30BSarvam AI | Qwen3.5 122B-A10BAlibaba (Qwen) | Tiny Aya EarthCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.40 | — |
| Output | — | $3.20 | — |
| Cached input | — | — | — |
| Blended (3:1) | — | $1.10 | — |
| Long-context rate | — | Same rate | — |
| Price source | — | Official Alibaba API | — |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 8,000 tokens |
| Max output | 128,000 tokens (best) | 65,536 tokens | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | OpenCC-BY-NC-4.0 |
| API model ID | sarvam-30b | qwen3.5-122b-a10b | tiny-aya-earth |
| API providers | 1 | 22 (best) | 1 |
| Released | Feb 18, 2026 | Feb 23, 2026 | Feb 17, 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.
- Sarvam 30B—
- Qwen3.5 122B-A10B$10.40
- Tiny Aya Earth—
Which should you choose?
Which is better: Sarvam 30B, Qwen3.5 122B-A10B or Tiny Aya Earth?
Qwen3.5 122B-A10B is the better all-round choice, scoring 63/100 against Sarvam 30B (31) and Tiny Aya Earth (15). 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 30B, Qwen3.5 122B-A10B or Tiny Aya Earth?
Qwen3.5 122B-A10B is cheaper at $0.40 input / $3.20 output per million tokens (official Alibaba API price). . At a typical mix of three input tokens to one output token, that is $1.10 per million tokens for Qwen3.5 122B-A10B versus . Sarvam 30B 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 30B has not been scored yet, Qwen3.5 122B-A10B 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 30B, Qwen3.5 122B-A10B and Tiny Aya Earth 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?
Qwen3.5 122B-A10B has the largest context window at 262,144 tokens, against 128,000 for Sarvam 30B and 8,000 for Tiny Aya Earth. Maximum output per response: Sarvam 30B up to 128,000, Qwen3.5 122B-A10B up to 65,536, Tiny Aya Earth up to 8,000 tokens.
Which can read images, PDFs, audio or video?
Sarvam 30B accepts text; Qwen3.5 122B-A10B accepts text, images and video; Tiny Aya Earth accepts text. Qwen3.5 122B-A10B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Qwen3.5 122B-A10B is the newest, released Feb 23, 2026. Sarvam 30B came out Feb 18, 2026; Tiny Aya Earth came out Feb 17, 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.
