As of August 20, 2026, Solar Pro 4 is 81% cheaper per million tokens than Qwen3.8-2.4T-A95B. Qwen3.8-2.4T-A95B is $2.00 / $6.00 per million input/output tokens versus Solar Pro 4 at $0.30 / $1.20. Sources: https://www.alibabacloud.com/help/en/model-studio/pricing and https://www.upstage.ai
Sources: Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing); Upstage pricing (https://www.upstage.ai)
Qwen3.8-2.4T-A95B
Qwen
Input
$2.00
Output
$6.00
Solar Pro 4
Upstage
Input
$0.30
Output
$1.20
Token pricing, specs, and benchmarks side by side
Qwen3.8-2.4T-A95BSolar Pro 4Verdict
Both models are closely matched on benchmarks. Solar Pro 4 has the pricing advantage, making it the better value unless Qwen3.8-2.4T-A95B's specific capabilities are critical to your workflow.
As of August 20, 2026, Solar Pro 4 is 81% cheaper on blended LLM API pricing. Solar Pro 4 costs $0.30 per million input tokens and $1.20 per million output tokens ($1.50 blended 1M-in + 1M-out). Qwen3.8-2.4T-A95B costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://www.alibabacloud.com/help/en/model-studio/pricing and https://www.upstage.ai. The cheapest LLM for your app still depends on how many output tokens you generate.
Qwen3.8-2.4T-A95B Qwen API pricing is $2.00 input and $6.00 output per million tokens via Qwen. Solar Pro 4 Upstage API pricing is $0.30 input and $1.20 output per million tokens via Upstage. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Solar Pro 4 has a published SWE-bench Verified score of 70.6%. Qwen3.8-2.4T-A95B does not have that eval on this page yet.
Qwen3.8-2.4T-A95B supports a 1M token context window, while Solar Pro 4 supports 524K tokens. Qwen3.8-2.4T-A95B 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.
Shared benchmark scores for Qwen3.8-2.4T-A95B and Solar Pro 4 are still limited. Check the comparison table for the evals each model has published. 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 Qwen3.8-2.4T-A95B and Solar Pro 4 are production API models. For cost-sensitive production traffic, Solar Pro 4 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 Qwen3.8-2.4T-A95B through Qwen and Solar Pro 4 through Upstage 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 Upstage API pricing, quoted per million tokens. Official rate sheets: https://www.alibabacloud.com/help/en/model-studio/pricing and https://www.upstage.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.
Qwen3.8-2.4T-A95B supports up to an unspecified number of output tokens per request, while Solar Pro 4 supports up to 131K 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 Qwen3.8-2.4T-A95B nor Solar Pro 4 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 Qwen3.8-2.4T-A95B or Solar Pro 4 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. Qwen3.8-2.4T-A95B costs $2.00/M input and $6.00/M output. Solar Pro 4 costs $0.30/M input and $1.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
280 models across 33 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
