AI model comparison
Granite 4.2 8B vs Qwen3.7 Flash
Side by side comparison of Granite 4.2 8B and Qwen3.7 Flash on pricing, benchmark scores, context window, and more.
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning.
- Input / 1M
- $0.06
- Output / 1M
- $0.15
- Context
- 131K
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
- Input / 1M
- $0.03
- Output / 1M
- $0.13
- Context
- 1M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.7 Flash
1.6x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Qwen3.7 Flash
1M vs 131K tokens
Newer release
Granite 4.2 8B
Released August 31, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Granite 4.2 8B5.1Qwen3.7 FlashNot availableCoding index
Granite 4.2 8B22.4Qwen3.7 FlashNot availableAgentic index
Granite 4.2 8B1.3Qwen3.7 FlashNot availablePricing
Granite 4.2 8B vs Qwen3.7 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Granite 4.2 8B | Qwen3.7 Flash |
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $0.03 |
| Output tokensPer 1M tokens | $0.15 | $0.13 |
| Cached input (read)Per 1M tokens | $0.02 | $0.01 |
| Cache writePer 1M tokens | Not available | $0.04 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.10 in / $0.40 out above 32K |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Granite 4.2 8B$0.19Qwen3.7 Flash$0.13Coding task
30K in, 4K out
Granite 4.2 8B$2.40$1.05 cachedQwen3.7 Flash$1.42$0.70 cachedLong document summary
150K in, 2K out
Granite 4.2 8B$9.30$2.55 cachedQwen3.7 Flash$4.76$1.16 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Granite 4.2 8B | Qwen3.7 Flash |
|---|---|---|
| Context window | 131K tokens | 1M tokens |
| Max output | 118K tokens | 66K tokens |
| Input types | Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Low, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | August 31, 2026 | July 27, 2026 |
Features
Supported features
API features available for each model.
| Metric | Granite 4.2 8B | Qwen3.7 Flash |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Granite 4.2 8BView full model details- Granite 4.2 8B vs Muse Glimmer 30B
- Granite 4.2 8B vs Command A+
- Granite 4.2 8B vs Nemotron 3.5 Lightning
- Granite 4.2 8B vs Mistral Small 4
- Granite 4.2 8B vs DeepSeek V4.1 Flash
- Granite 4.2 8B vs DeepSeek V4 Flash 0731
- Granite 4.2 8B vs Muse Spark 1.3 Contributor
- Granite 4.2 8B vs DeepSeek V4 Flash 0423
- Granite 4.2 8B vs Solar Mini 4
Qwen3.7 FlashView full model details- Qwen3.7 Flash vs DeepSeek V4.1 Flash 1017
- Qwen3.7 Flash vs GLM 5.3 Flash
- Qwen3.7 Flash vs DeepSeek V4.1 Flash
- Qwen3.7 Flash vs MiniMax M3.1 Flash
- Qwen3.7 Flash vs DeepSeek V4 Flash 0731
- Qwen3.7 Flash vs Muse Spark 1.3 Contributor
- Qwen3.7 Flash vs DeepSeek V4 Flash 0423
- Qwen3.7 Flash vs Solar Mini 4
- Qwen3.7 Flash vs Qwen3.8 Flash
- Qwen3.7 Flash vs Mistral Nemo
- Qwen3.7 Flash vs gpt-oss-20b
Our take
Qwen3.7 Flash is 1.6x cheaper for a typical chat. Qwen3.7 Flash has the larger context window (1M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Granite 4.2 8B or Qwen3.7 Flash cheaper?
Qwen3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens, while Granite 4.2 8B costs $0.06 per 1M input tokens and $0.15 per 1M output tokens.
Which has a bigger context window, Granite 4.2 8B or Qwen3.7 Flash?
Qwen3.7 Flash supports up to 1M tokens of context, compared with 131K for Granite 4.2 8B.
Can I use Granite 4.2 8B and Qwen3.7 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Granite 4.2 8B and Qwen3.7 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Granite 4.2 8B and Qwen3.7 Flash at the same time. Compare the answers side by side and keep the best one.