AI model comparison
Granite 4.2 8B vs DeepSeek V4 Flash 0423
Side by side comparison of Granite 4.2 8B and DeepSeek V4 Flash 0423 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
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.09
- Output / 1M
- $0.18
- Context
- 1.05M
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Granite 4.2 8B
1.4x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
DeepSeek V4 Flash 0423
1.05M 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 8B5.1DeepSeek V4 Flash 0423Not availableCoding index
Granite 4.2 8B22.4DeepSeek V4 Flash 042356.2Agentic index
Granite 4.2 8B1.3DeepSeek V4 Flash 042322.2Pricing
Granite 4.2 8B vs DeepSeek V4 Flash 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Granite 4.2 8B | DeepSeek V4 Flash 0423 |
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $0.09 |
| Output tokensPer 1M tokens | $0.15 | $0.18 |
| Cached input (read)Per 1M tokens | $0.02 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
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$0.19DeepSeek V4 Flash 0423$0.27Coding task
30K in, 4K out
Granite 4.2 8B$2.40$1.05 cachedDeepSeek V4 Flash 0423$3.46$1.27 cachedLong document summary
150K in, 2K out
Granite 4.2 8B$9.30$2.55 cachedDeepSeek V4 Flash 0423$14.01$3.09 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 | DeepSeek V4 Flash 0423 |
|---|---|---|
| Context window | 131K tokens | 1.05M tokens |
| Max output | 118K tokens | 944K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Low, None | Extra high, High, None |
| Default reasoning effort | High | High |
| Release date | August 31, 2026 | April 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | Granite 4.2 8B | DeepSeek V4 Flash 0423 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | 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 Solar Mini 4
- Granite 4.2 8B vs Qwen3.7 Flash
DeepSeek V4 Flash 0423View full model details- DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash 1017
- DeepSeek V4 Flash 0423 vs GLM 5.3 Flash
- DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash
- DeepSeek V4 Flash 0423 vs GPT-6 Luna
- DeepSeek V4 Flash 0423 vs MiniMax M3.1 Flash
- DeepSeek V4 Flash 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Flash 0423 vs MiMo-V2.6-Flash
- DeepSeek V4 Flash 0423 vs Muse Spark 1.3 Contributor
- DeepSeek V4 Flash 0423 vs Solar Mini 4
- DeepSeek V4 Flash 0423 vs Qwen3.7 Flash
- DeepSeek V4 Flash 0423 vs Mistral Nemo
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2
- DeepSeek V4 Flash 0423 vs gpt-oss-20b
- DeepSeek V4 Flash 0423 vs Nemotron 3.5 Lightning
Our take
Granite 4.2 8B is 1.4x cheaper for a typical chat. DeepSeek V4 Flash 0423 has the larger context window (1.05M 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 DeepSeek V4 Flash 0423 cheaper?
Granite 4.2 8B is cheaper for a typical chat (2K input tokens and 500 output tokens). Granite 4.2 8B costs $0.06 per 1M input tokens and $0.15 per 1M output tokens, while DeepSeek V4 Flash 0423 costs $0.09 per 1M input tokens and $0.18 per 1M output tokens.
Which has a bigger context window, Granite 4.2 8B or DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 131K for Granite 4.2 8B.
Can I use Granite 4.2 8B and DeepSeek V4 Flash 0423 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Granite 4.2 8B and DeepSeek V4 Flash 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Granite 4.2 8B and DeepSeek V4 Flash 0423 at the same time. Compare the answers side by side and keep the best one.