Grok Build 0.1 vs Qwen3.5 122B-A10B vs Sarvam 105B
Too close to call on our weighted score (Qwen3.5 122B-A10B 54, Grok Build 0.1 53, Sarvam 105B 52). The right pick depends on what you value most.
xAIGrok Build 0.1
53/100- ECI—
- Price$1.00 / $2.00
- Context256K
Alibaba (Qwen)Qwen3.5 122B-A10B
54/100- ECI—
- Price$0.40 / $3.20
- Context262K
Sarvam AI
Sarvam 105B
52/100- ECI—
- Price$0.158 / $0.632
- Context131K
Too close to call
It is close. Our weighted score puts them within 1 points (Qwen3.5 122B-A10B 54/100, Grok Build 0.1 53/100, Sarvam 105B 52/100), so choose by what matters most for your work: Sarvam 105B on price and Qwen3.5 122B-A10B 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 priceSarvam 105BSarvam 105B $0.276 · Qwen3.5 122B-A10B $1.10 · Grok Build 0.1 $1.25 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 122B-A10BQwen3.5 122B-A10B 262,144 · Grok Build 0.1 256,000 · Sarvam 105B 131,072 tokens
- Widest inputsGrok Build 0.1 and Qwen3.5 122B-A10BGrok Build 0.1: Text, Images, PDFs · Qwen3.5 122B-A10B: Text, Images, Video · Sarvam 105B: Text
- Self-hostingQwen3.5 122B-A10B and Sarvam 105BPublishes downloadable weights
| Measure | Weight | Grok Build 0.1 | Qwen3.5 122B-A10B | Sarvam 105B |
|---|---|---|---|---|
| Price | 50% | 43 | 46 | 73 |
| Inputs & features | 30% | 80 | 80 | 35 |
| Context window | 20% | 36 | 37 | 25 |
| Overall | 100% | 53/100 | 54/100 | 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 | Grok Build 0.1xAI | Qwen3.5 122B-A10BAlibaba (Qwen) | Sarvam 105BSarvam AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.00 | $0.40 | $0.158 (best) |
| Output | $2.00 | $3.20 | $0.632 (best) |
| Cached input | $0.20 | — | $0.053 (best) |
| Blended (3:1) | $1.25 | $1.10 | $0.276 (best) |
| Long-context rate | Over 200K: $2.00 / $4.00 | Same rate | Same rate |
| Price source | Official xAI API | Official Alibaba API | Official Sarvam AI API |
| Limits | |||
| Context window | 256,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Max output | 256,000 tokens (best) | 65,536 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | grok-build-0.1 | qwen3.5-122b-a10b | sarvam-105b |
| API providers | 20 | 22 (best) | 3 |
| Released | Apr 16, 2026 | Feb 23, 2026 | Feb 18, 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.
- Grok Build 0.1$14.00
- Qwen3.5 122B-A10B$10.40
- Sarvam 105B$2.84
Which should you choose?
Which is better: Grok Build 0.1, Qwen3.5 122B-A10B or Sarvam 105B?
It is close. Our weighted score puts them within 1 points (Qwen3.5 122B-A10B 54/100, Grok Build 0.1 53/100, Sarvam 105B 52/100), so choose by what matters most for your work: Sarvam 105B on price and Qwen3.5 122B-A10B 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, Grok Build 0.1, Qwen3.5 122B-A10B or Sarvam 105B?
Sarvam 105B is cheaper at $0.158 input / $0.632 output per million tokens (official Sarvam AI API price). Qwen3.5 122B-A10B costs $0.40 input / $3.20 output per million tokens (official Alibaba API price); Grok Build 0.1 costs $1.00 input / $2.00 output per million tokens (official xAI API price). At a typical mix of three input tokens to one output token, that is $0.276 per million tokens for Sarvam 105B versus $1.10 for Qwen3.5 122B-A10B (4× as much) and $1.25 for Grok Build 0.1 (4.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok Build 0.1 has not been scored yet, Qwen3.5 122B-A10B 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 Grok Build 0.1, Qwen3.5 122B-A10B and Sarvam 105B 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 256,000 for Grok Build 0.1 and 131,072 for Sarvam 105B. Maximum output per response: Grok Build 0.1 up to 256,000, Qwen3.5 122B-A10B up to 65,536, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok Build 0.1 accepts text, images and PDFs; Qwen3.5 122B-A10B accepts text, images and video; Sarvam 105B accepts text. Grok Build 0.1 handles the widest range of inputs.
Are any of these open source?
Qwen3.5 122B-A10B and Sarvam 105B publishes its weights and can be self-hosted; Grok Build 0.1 is proprietary.
Which is newer?
Grok Build 0.1 is the newest, released Apr 16, 2026. Qwen3.5 122B-A10B came out Feb 23, 2026; Sarvam 105B came out Feb 18, 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.
