As of August 30, 2026, Qwen3.8-Flash-Next is 61% cheaper per million tokens than Sarvam-105B. Qwen3.8-Flash-Next is $0.15 / $0.47 per million input/output tokens versus Sarvam-105B at $0.80 / $0.80. Sources: https://www.qwencloud.com/models/qwen3.8-flash and https://www.sarvam.ai/
Sources: Qwen pricing (https://www.qwencloud.com/models/qwen3.8-flash); Sarvam AI pricing (https://www.sarvam.ai/)
Qwen3.8-Flash-Next
Qwen
Input
$0.15
Output
$0.47
Sarvam-105B
Sarvam AI
Input
$0.80
Output
$0.80
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.
HLE. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
Qwen3.8-Flash-NextSarvam-105BVerdict
Qwen3.8-Flash-Next offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 30, 2026, Qwen3.8-Flash-Next is 61% cheaper on blended LLM API pricing. Qwen3.8-Flash-Next costs $0.15 per million input tokens and $0.47 per million output tokens ($0.62 blended 1M-in + 1M-out). Sarvam-105B costs $0.80 / $0.80 per million tokens ($1.60 blended). Sources: https://www.qwencloud.com/models/qwen3.8-flash and https://www.sarvam.ai/. The cheapest LLM for your app still depends on how many output tokens you generate.
Qwen3.8-Flash-Next Qwen API pricing is $0.15 input and $0.47 output per million tokens via Qwen. Sarvam-105B Sarvam AI API pricing is $0.80 input and $0.80 output per million tokens via Sarvam AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Sarvam-105B has a published SWE-bench Verified score of 45%. Qwen3.8-Flash-Next does not have that eval on this page yet.
Qwen3.8-Flash-Next supports a 262K token context window, while Sarvam-105B supports 33K tokens. Qwen3.8-Flash-Next 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.
Qwen3.8-Flash-Next leads on 3 of 3 shared benchmarks versus Sarvam-105B's 0 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 Qwen3.8-Flash-Next and Sarvam-105B are production API models. For cost-sensitive production traffic, Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next through Qwen and Sarvam-105B 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://www.qwencloud.com/models/qwen3.8-flash 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.
Qwen3.8-Flash-Next supports up to 262K output tokens per request, while Sarvam-105B 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.
Neither Qwen3.8-Flash-Next nor Sarvam-105B has published throughput data on this page yet. 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 Qwen3.8-Flash-Next or Sarvam-105B 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. Qwen3.8-Flash-Next costs $0.15/M input and $0.47/M output. Sarvam-105B costs $0.80/M input and $0.80/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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