As of August 30, 2026, Sarvam-30B is 88% cheaper per million tokens than Qwen3.7 Max. Qwen3.7 Max is $1.25 / $3.75 per million input/output tokens versus Sarvam-30B at $0.30 / $0.30. Sources: https://bailian.console.aliyun.com/ and https://www.sarvam.ai/
Sources: Qwen pricing (https://bailian.console.aliyun.com/); Sarvam AI pricing (https://www.sarvam.ai/)
Qwen3.7 Max
Qwen
Input
$1.25
Output
$3.75
Sarvam-30B
Sarvam AI
Input
$0.30
Output
$0.30
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
SWE-bench Verified. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
Qwen3.7 MaxSarvam-30BVerdict
Sarvam-30B offers significantly lower pricing, while Qwen3.7 Max leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 30, 2026, Sarvam-30B is 88% cheaper on blended LLM API pricing. Sarvam-30B costs $0.30 per million input tokens and $0.30 per million output tokens ($0.60 blended 1M-in + 1M-out). Qwen3.7 Max costs $1.25 / $3.75 per million tokens ($5.00 blended). Sources: https://bailian.console.aliyun.com/ and https://www.sarvam.ai/. The cheapest LLM for your app still depends on how many output tokens you generate.
Qwen3.7 Max Qwen API pricing is $1.25 input and $3.75 output per million tokens via Qwen. Sarvam-30B Sarvam AI API pricing is $0.30 input and $0.30 output per million tokens via Sarvam AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Qwen3.7 Max leads on SWE-bench Verified: Qwen3.7 Max at 80.4% vs Sarvam-30B at 34%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
Qwen3.7 Max supports a 1M token context window, while Sarvam-30B supports 33K tokens. Qwen3.7 Max offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Qwen3.7 Max leads on 4 of 5 shared benchmarks versus Sarvam-30B's 1 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Qwen3.7 Max and Sarvam-30B are production API models. For cost-sensitive production traffic, Sarvam-30B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Qwen3.7 Max through Qwen and Sarvam-30B through Sarvam AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Qwen API pricing and Sarvam AI API pricing, quoted per million tokens. Official rate sheets: https://bailian.console.aliyun.com/ and https://www.sarvam.ai/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Qwen3.7 Max supports up to 66K output tokens per request, while Sarvam-30B supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Qwen3.7 Max has a measured throughput of approximately 5.7 tokens/second. Throughput data for Sarvam-30B is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Qwen3.7 Max or Sarvam-30B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Qwen3.7 Max costs $1.25/M input and $3.75/M output. Sarvam-30B costs $0.30/M input and $0.30/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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