Qwen3 235B A22B Thinking 2507 vs Qwen3.8 Flash

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

QwenThinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
131 K tokens
Max output
118 K
Input, $ per 1M tokens
$0.230
Output, $ per 1M tokens
$2.30
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
07/08/2025
Knowledge cutoff
—
API id
qwen/qwen3-235b-a22b-thinking-2507
QwenQwen3.8 Flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
▲1 M tokens
Max output
▲131 K
Input, $ per 1M tokens
▲$0.150
Output, $ per 1M tokens
▲$0.470
Cache read, $ per 1M
$0.016
Batch (input / output)
—
Tool calling
Yes
Released
▲08/26/2026
Knowledge cutoff
—
API id
qwen/qwen3.8-flash
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Qwen3 235B A22B Thinking 2507 vs Qwen3.8 Flash?

  • Qwen3.8 Flash: cheapest input (35% less than Qwen3 235B A22B Thinking 2507)
  • Qwen3.8 Flash: cheapest output
  • Qwen3.8 Flash: largest context (1 M)
  • Qwen3.8 Flash: the newest (08/26/2026)
  • Qwen3 235B A22B Thinking 2507: most reasoning (estimated)
  • Qwen3.8 Flash: the fastest (estimated)

Qwen3.8 Flash costs 35% less on input and 80% less on output than Qwen3 235B A22B Thinking 2507 ($0.150 / $0.470 versus $0.230 / $2.30 per million tokens). Qwen3.8 Flash accepts more context (1 M). On capabilities, Qwen3.8 Flash accepts images.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Qwen3 235B A22B Thinking 2507
$12.65/mo
Qwen3.8 Flash
$4.13/mo

With Qwen3.8 Flash you save $8.52 a month versus Qwen3 235B A22B Thinking 2507 (67% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 6Qwen3.5-Flash Qwen$2.02

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Qwen3.8 Flash Qwen$0.011
  2. 2Qwen3 235B A22B Thinking 2507 Qwen$0.017
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: Qwen3 235B A22B Thinking 2507 vs Qwen3.8 Flash?

Qwen3.8 Flash costs 35% less on input and 80% less on output than Qwen3 235B A22B Thinking 2507 ($0.150 / $0.470 versus $0.230 / $2.30 per million tokens). Qwen3.8 Flash accepts more context (1 M). On capabilities, Qwen3.8 Flash accepts images.

Which is cheaper: Qwen3 235B A22B Thinking 2507 and Qwen3.8 Flash?

Qwen3.8 Flash is cheaper: $0.150 per million input tokens and $0.470 per million output tokens, versus $0.230 / $2.30 for Qwen3 235B A22B Thinking 2507.

Which has more context: Qwen3 235B A22B Thinking 2507 and Qwen3.8 Flash?

Qwen3.8 Flash accepts 1 M tokens of context; Qwen3 235B A22B Thinking 2507 accepts 131 K.

Which is newer: Qwen3 235B A22B Thinking 2507 and Qwen3.8 Flash?

Qwen3.8 Flash was released on 08/26/2026; Qwen3 235B A22B Thinking 2507 on 07/08/2025.

What would 10,000 requests a month cost with Qwen3 235B A22B Thinking 2507 and Qwen3.8 Flash?

With 1,500 input and 400 output tokens per request: Qwen3 235B A22B Thinking 2507: $12.65; Qwen3.8 Flash: $4.13 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.