Mercury Edit 2 vs Sarvam 105B
Sarvam 105B comes out ahead, 65 to 35 on our weighted score, and it is the cheaper option too.
InceptionMercury Edit 2
35/100- ECI—
- Price$0.25 / $0.75
- Context32K
- Our pick
Sarvam AI
Sarvam 105B
65/100- ECI—
- Price$0.047 / $0.186
- Context131K
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Make it a three-way comparison.
Sarvam 105B is our pick
Sarvam 105B is the better all-round choice, scoring 65/100 against Mercury Edit 2 (35). It leads on price, inputs & features and context window. 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 $0.082 · Mercury Edit 2 $0.375 per 1M tokens (3:1 blend)
- Longest contextSarvam 105BSarvam 105B 131,072 · Mercury Edit 2 32,000 tokens
- Widest inputsSame inputsMercury Edit 2: Text · Sarvam 105B: Text
- Self-hostingSarvam 105BPublishes downloadable weights
| Measure | Weight | Mercury Edit 2 | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 70 | 100 |
| Inputs & features | 30% | 0 | 35 |
| Context window | 20% | 0 | 24 |
| Overall | 100% | 35/100 | 65/100 |
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 | Mercury Edit 2Inception | Sarvam 105BSarvam AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.25 | $0.047 (best) |
| Output | $0.75 | $0.186 (best) |
| Cached input | $0.025 | — |
| Blended (3:1) | $0.375 | $0.082 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Inception API | Median of 2 providers |
| Limits | ||
| Context window | 32,000 tokens | 131,072 tokens (best) |
| 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 | No | Yes · low · medium · high |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | mercury-edit-2 | sarvam-105b |
| API providers | 1 | 3 (best) |
| Released | Mar 30, 2026 | Sep 1, 2025 |
| 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.
- Mercury Edit 2$4.00
- Sarvam 105B$0.842
Which should you choose?
Which is better: Mercury Edit 2 or Sarvam 105B?
Sarvam 105B is the better all-round choice, scoring 65/100 against Mercury Edit 2 (35). It leads on price, inputs & features and context window. 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, Mercury Edit 2 or Sarvam 105B?
Sarvam 105B is cheaper at $0.047 input / $0.186 output per million tokens (median across 2 API providers). Mercury Edit 2 costs $0.25 input / $0.75 output per million tokens (official Inception API price). At a typical mix of three input tokens to one output token, that is $0.082 per million tokens for Sarvam 105B versus $0.375 for Mercury Edit 2 (4.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mercury Edit 2 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 Mercury Edit 2 and Sarvam 105B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mercury Edit 2 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Sarvam 105B has the largest context window at 131,072 tokens, against 32,000 for Mercury Edit 2. Maximum output per response: Mercury Edit 2 up to 8,192, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Mercury Edit 2 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; Mercury Edit 2 is proprietary.
Which is newer?
Mercury Edit 2 is the newest, released Mar 30, 2026. Sarvam 105B came out Sep 1, 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 Oct 4, 2026.
