Claude Opus 4.8 vs Qwen3 Coder (Together AI): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Claude Opus 4.8 (Anthropic) and Qwen3 Coder (Together AI) (Together AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Jun 26, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Qwen3 Coder (Together AI) at $11.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestQwen3 Coder (Together AI) | Together AI | $11.00 | $0.001100 | $5.00 | $6.00 | 93.7% | Alerts coming soon |
Claude Opus 4.8 | Anthropic | $175.00 | $0.017500 | $50.00 | $125.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Claude Opus 4.8 | Qwen3 Coder (Together AI) | Cheaper |
|---|---|---|---|
| Input (standard) | $5.00/M | $0.50/M | Qwen3 Coder (Together AI) |
| Output | $25.00/M | $1.20/M | Qwen3 Coder (Together AI) |
Prices last verified: 2026-03-06 – 2026-06-26
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | Claude Opus 4.8Monthly | Qwen3 Coder (Together AI)Monthly | Claude Opus 4.8Per request | Qwen3 Coder (Together AI)Per request |
|---|---|---|---|---|
| 1K requests/mo | $17.50 | $1.10 | $0.017500 | $0.001100 |
| 10K requests/mo | $175.00 | $11.00 | $0.017500 | $0.001100 |
| 100K requests/mo | $1,750.00 | $110.00 | $0.017500 | $0.001100 |
| 1M requests/mo | $17,500.00 | $1,100.00 | $0.017500 | $0.001100 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose Claude Opus 4.8
by Anthropic
- General chatbot
Input / 1M tokens
$5.00/M
Output / 1M tokens
$25.00/M
Context window
1,000,000
Tier
premium
When to Choose Qwen3 Coder (Together AI)
by Together AI
- Code generation
Input / 1M tokens
$0.50/M
Output / 1M tokens
$1.20/M
Context window
131,072
Tier
mid
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | Claude Opus 4.8 | Qwen3 Coder (Together AI) |
|---|---|---|
| Context window | 1,000,000 tokens | 131,072 tokens |
| Max output tokens | 128,000 tokens | 8,192 tokens |
| Performance tier | Premium | Mid |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | Yes | No |
| Fine-tuning | No | No |
Qwen3 Coder (Together AI) notes
Code-specialized model from Alibaba's Qwen3 family.
Frequently Asked Questions
Is Claude Opus 4.8 cheaper than Qwen3 Coder (Together AI)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Qwen3 Coder (Together AI) costs $110.00/month versus $1,750.00/month for Claude Opus 4.8 — a 94% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, Claude Opus 4.8 or Qwen3 Coder (Together AI)?
Claude Opus 4.8 has a larger context window at 1,000,000 tokens, compared to 131,072 tokens for Qwen3 Coder (Together AI). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Claude Opus 4.8 and Qwen3 Coder (Together AI) support the Batch API?
Neither Claude Opus 4.8 nor Qwen3 Coder (Together AI) currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
Neither Claude Opus 4.8 nor Qwen3 Coder (Together AI) currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.
What are the best use cases for Claude Opus 4.8 vs Qwen3 Coder (Together AI)?
Claude Opus 4.8 is best suited for General chatbot, while Qwen3 Coder (Together AI) is optimized for Code generation. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.
What is the cost per request for Claude Opus 4.8 vs Qwen3 Coder (Together AI)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Opus 4.8 costs $0.017500 per request and Qwen3 Coder (Together AI) costs $0.001100 per request. At 100,000 requests/month, that translates to $1,750.00 and $110.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Claude Opus 4.8 vs Qwen3 Coder (Together AI): Summary
When comparing Claude Opus 4.8 and Qwen3 Coder (Together AI) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Qwen3 Coder (Together AI) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $110.00/month, compared to $1,750.00/month for Claude Opus 4.8.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Opus 4.8 charges $5.00/M for input tokens and $25.00/M for output tokens. Qwen3 Coder (Together AI) charges $0.50/M input and $1.20/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Context window capacity differs between the two: Claude Opus 4.8 supports up to 1,000,000 tokens in a single request, versus 131,072 tokens for Qwen3 Coder (Together AI). A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
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