Qwen MT Plus vs Sarvam-M vs GPT-5 Chat
GPT-5 Chat comes out ahead, 39 to 6 and 0 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen MT Plus
0/100- ECI—
- Price$2.46 / $7.37
- Context16K
Sarvam AI
Sarvam-M
6/100- ECI—
- Price—
- Context33K
- Our pick
OpenAIGPT-5 Chat
39/100- ECI—
- Price$1.25 / $10.00
- Context400K
GPT-5 Chat is our pick
GPT-5 Chat is the better all-round choice, scoring 39/100 against Sarvam-M (6) and Qwen MT Plus (0). 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 priceGPT-5 ChatGPT-5 Chat $3.44 · Qwen MT Plus $3.69 per 1M tokens (3:1 blend) · Sarvam-M unpriced
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Sarvam-M 32,768 · Qwen MT Plus 16,384 tokens
- Widest inputsGPT-5 ChatQwen MT Plus: Text · Sarvam-M: Text · GPT-5 Chat: Text, Images
- Self-hostingSarvam-MPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Qwen MT Plus | Sarvam-M | GPT-5 Chat |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 10 | 35 |
| Context window | 40% | 0 | 0 | 44 |
| Overall | 100% | 0/100 | 6/100 | 39/100 |
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 | Qwen MT PlusAlibaba (Qwen) | Sarvam-MSarvam AI | GPT-5 ChatOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.46 | — | $1.25 (best) |
| Output | $7.37 (best) | — | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.69 | — | $3.44 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Alibaba API | — | Median of 5 providers |
| Limits | |||
| Context window | 16,384 tokens | 32,768 tokens | 400,000 tokens (best) |
| Max output | 8,192 tokens | 32,768 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | No | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Proprietary |
| API model ID | qwen-mt-plus | — | — |
| API providers | 3 | — | 5 (best) |
| Released | Jul 24, 2025 | May 20, 2025 | Aug 7, 2025 |
| Knowledge cutoff | — | — | Sep 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen MT Plus$39.34
- Sarvam-M—
- GPT-5 Chat$32.50
Which should you choose?
Which is better: Qwen MT Plus, Sarvam-M or GPT-5 Chat?
GPT-5 Chat is the better all-round choice, scoring 39/100 against Sarvam-M (6) and Qwen MT Plus (0). 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, Qwen MT Plus, Sarvam-M or GPT-5 Chat?
GPT-5 Chat is cheaper at $1.25 input / $10.00 output per million tokens (median across 5 API providers). Qwen MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5 Chat versus $3.69 for Qwen MT Plus (1.1× as much). Sarvam-M has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen MT Plus has not been scored yet, Sarvam-M has not been scored yet and GPT-5 Chat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen MT Plus, Sarvam-M and GPT-5 Chat yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen MT Plus, Sarvam-M and GPT-5 Chat does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5 Chat has the largest context window at 400,000 tokens, against 32,768 for Sarvam-M and 16,384 for Qwen MT Plus. Maximum output per response: Qwen MT Plus up to 8,192, Sarvam-M up to 32,768, GPT-5 Chat up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Qwen MT Plus accepts text; Sarvam-M accepts text; GPT-5 Chat accepts text and images. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
Sarvam-M publishes its weights (Apache 2.0) and can be self-hosted; Qwen MT Plus and GPT-5 Chat is proprietary.
Which is newer?
GPT-5 Chat is the newest, released Aug 7, 2025. Qwen MT Plus came out Jul 24, 2025; Sarvam-M came out May 20, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024.
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.
