Amazon Nova Pro v1.0 vs Grok 3 mini Fast beta
Amazon Nova Pro v1.0 (Amazon Bedrock, 300,000-token context) versus Grok 3 mini Fast beta (xAI, 131,072-token context). Amazon Nova Pro v1.0 is cheaper by 13% on a blended token mix. Amazon Nova Pro v1.0 uniquely supports vision input and pdf input. Grok 3 mini Fast beta uniquely supports native reasoning mode. Use the live calculator below to plug your real usage shape into both, then route the winner via Agent Command Center for shadow A/B without code changes.
Bottom line — Amazon Nova Pro v1.0 vs Grok 3 mini Fast beta
Amazon Nova Pro v1.0 and Grok 3 mini Fast beta target overlapping workloads but differ sharply on economics. Amazon Nova Pro v1.0 runs roughly 13% cheaper on a blended input-plus-output token mix, which translates to approximately $120 per month at mid-market volume (100K requests/day). The gap compounds at enterprise scale, making the cost axis the first filter most teams apply when deciding between these two models.
Amazon Nova Pro v1.0 ships a 300,000-token context window, 2.3x larger than Grok 3 mini Fast beta's 131,072 tokens. That headroom matters for long-document RAG pipelines, multi-turn agent sessions that accumulate tool-call history, and codebases where the entire repository needs to fit in a single prompt. If your average prompt stays under 131,072 tokens, the extra context on Amazon Nova Pro v1.0 is insurance you may never use — and Grok 3 mini Fast beta may win on other axes.
On capability surface area, the models diverge: Amazon Nova Pro v1.0 supports vision input where the other does not; Amazon Nova Pro v1.0 supports pdf input where the other does not; Amazon Nova Pro v1.0 supports structured output (json schema) where the other does not. These differences are binary — either your workload needs the capability or it does not. Check whether any critical path in your agent pipeline depends on a capability only one model provides before committing to a migration.
For teams evaluating both models, the recommended path is a shadow A/B test: route production traffic through an OpenAI-compatible gateway, mirror a percentage to the candidate model, score both responses with an automated evaluator (faithfulness, tool-call correctness, latency), and compare cohort-level metrics over two weeks. Future AGI Agent Command Center supports this pattern with a single `base_url` change and built-in evaluators from the ai-evaluation SDK.
Live workload comparison
Same workload run through both models. The cheaper one is highlighted.
strategy: cost-optimized
primary:
model: grok-3-mini-fast-beta
provider: xai
fallback:
model: amazon-nova-pro-v1-0
provider: bedrock
shadow: { sample_rate: 0.05 } # mirror 5% of traffic to compare quality live| Amazon Nova Pro v1.0 | Grok 3 mini Fast beta | |
|---|---|---|
| Input price | $0.800/M | $0.600/M |
| Output price | $3.20/M | $4.00/M |
| Context window | 300,000 | 131,072 |
| Max output | 10,000 | 131,072 |
| Function calling | ✓ | ✓ |
| Vision | ✓ | — |
| Audio input | — | — |
| Reasoning | — | ✓ |
| Prompt caching | ✓ | ✓ |
| Structured output | ✓ | — |
| Pricing verified | Aug 6, 2026 | Aug 6, 2026 |
Cost at scale: monthly spend at three usage volumes
Estimated monthly cost assuming 1,000 input + 200 output tokens per request — a realistic chat-agent shape. Adjust your own usage in the calculator at the top of this page for an exact number.
| Scale | Amazon Nova Pro v1.0 | Grok 3 mini Fast beta | Delta |
|---|---|---|---|
| Startup 10K requests/day | $432 /mo | $420 /mo | $12.00/mo |
| Mid-market 100K requests/day | $4,320 /mo | $4,200 /mo | $120/mo |
| Enterprise 1M requests/day | $43,200 /mo | $42,000 /mo | $1,200/mo |
At enterprise scale (1M requests/day), a difference of even ~10% in unit price compounds into thousands of dollars per month. Cached input pricing and batch tiers can shift this further — both are surfaced on each model's own page.
When to choose which
Picked from the data above — not vendor marketing. Match the rules to your workload, not the other way around.
Your workload needs long context — Amazon Nova Pro v1.0 fits 300,000 tokens versus the other model's 131,072, enough headroom for full books, large codebases, or 100+ page documents in one shot.
Your inputs include screenshots, diagrams, or product photos — Amazon Nova Pro v1.0 accepts image input natively, the other doesn't.
Your tasks involve multi-step planning or math-heavy reasoning — Grok 3 mini Fast beta ships a native reasoning mode that explicitly thinks before responding, the other doesn't.
Capability diff — what you gain and lose on the swap
A specific list of what each model has that the other doesn't. If your workload depends on a row in Only Amazon Nova Pro v1.0, switching to Grok 3 mini Fast beta means re-architecting that path (and vice versa).
- • Vision input
- • PDF input
- • Structured output (JSON schema)
- • Native reasoning mode
Capabilities both share (3)
- ✓ Function calling
- ✓ Streaming
- ✓ Prompt caching
Migration considerations
Concrete differences to wire through your stack before you flip traffic from one to the other.
- Context window changes down 56% when moving from Amazon Nova Pro v1.0 (300,000) to Grok 3 mini Fast beta (131,072). Re-check any prompt that relies on cramming long history or documents.
- Max output tokens differ: 10,000 on Amazon Nova Pro v1.0 vs 131,072 on Grok 3 mini Fast beta. Long-form generation tasks may truncate differently — adjust streaming UI and chunking accordingly.
- Amazon Nova Pro v1.0 has capabilities Grok 3 mini Fast beta lacks: Vision input, PDF input, Structured output (JSON schema). Switching to Grok 3 mini Fast beta means re-architecting any flow that depends on these.
- Grok 3 mini Fast beta has capabilities Amazon Nova Pro v1.0 lacks: Native reasoning mode. Worth wiring through the agent design before commit.
- Provider changes from Amazon Bedrock to xAI. API authentication, rate-limit policy, regional availability, and billing all shift. Most teams route through an OpenAI-compatible gateway (e.g., Future AGI Agent Command Center) so the swap is a single `base_url` change instead of an SDK rewrite.
How to A/B test Amazon Nova Pro v1.0 vs Grok 3 mini Fast beta in production
If you're stuck between the two, run them side-by-side on real traffic. Four steps the Future AGI team uses internally:
- 1. Point your existing OpenAI SDK at
https://gateway.futureagi.com/v1. No code change beyondbase_urland a virtual key. - 2. Mark Amazon Nova Pro v1.0 primary, mirror 20% of traffic to Grok 3 mini Fast beta in shadow mode. Both responses are logged; only the primary is served to users.
- 3. Score every shadow response with an evaluator — faithfulness, tool-call correctness, response latency, cost. Built-in evaluators in ai-evaluation cover the common axes.
- 4. Compare cohort-level metrics after two weeks. Switch primary when the candidate wins on what matters to your workload — and stays within your latency budget.
Full walkthrough on the Agent Command Center page.
FAQ — Amazon Nova Pro v1.0 vs Grok 3 mini Fast beta
Which is cheaper, Amazon Nova Pro v1.0 or Grok 3 mini Fast beta? ▾
Amazon Nova Pro v1.0 is cheaper by roughly 13% on a blended input + output token mix. Input prices are $0.800/M for Amazon Nova Pro v1.0 versus $0.600/M for Grok 3 mini Fast beta; output prices are $3.20/M versus $4.00/M. The exact savings depend on your input:output ratio — use the live calculator above to plug in your own request shape.
What is the context window of Amazon Nova Pro v1.0 versus Grok 3 mini Fast beta? ▾
Amazon Nova Pro v1.0 supports up to 300,000 tokens of context. Grok 3 mini Fast beta supports up to 131,072 tokens. Amazon Nova Pro v1.0 has the larger window by a factor of 2.3x, which matters for long-document RAG, multi-turn agent sessions, and tasks that need to keep an entire codebase in working memory.
Do Amazon Nova Pro v1.0 and Grok 3 mini Fast beta both support tool calling? ▾
Yes — both Amazon Nova Pro v1.0 and Grok 3 mini Fast beta support native function calling. Both also support structured output via JSON schema, so an agent can be ported between them with the same tool definitions.
Can Amazon Nova Pro v1.0 and Grok 3 mini Fast beta process images? ▾
Amazon Nova Pro v1.0 accepts native image input. Grok 3 mini Fast beta does not — you would need to route image-heavy workloads through Amazon Nova Pro v1.0 or add a separate vision model in front of Grok 3 mini Fast beta.
Which model supports prompt caching for cost reduction? ▾
Both Amazon Nova Pro v1.0 and Grok 3 mini Fast beta support prompt caching. Cached input tokens are typically discounted 50–90% versus uncached input, depending on the provider. For agents with a stable system prompt + retrieval context, the cached pricing tier is the real unit economics number to track.
When should I choose Amazon Nova Pro v1.0 over Grok 3 mini Fast beta? ▾
Your workload needs long context — Amazon Nova Pro v1.0 fits 300,000 tokens versus the other model's 131,072, enough headroom for full books, large codebases, or 100+ page documents in one shot. Your inputs include screenshots, diagrams, or product photos — Amazon Nova Pro v1.0 accepts image input natively, the other doesn't.
When should I choose Grok 3 mini Fast beta over Amazon Nova Pro v1.0? ▾
Your tasks involve multi-step planning or math-heavy reasoning — Grok 3 mini Fast beta ships a native reasoning mode that explicitly thinks before responding, the other doesn't.
How do I A/B test Amazon Nova Pro v1.0 against Grok 3 mini Fast beta in production? ▾
Route both through an OpenAI-compatible gateway like Future AGI Agent Command Center with shadow mode enabled. Send 100% of traffic to your primary model, mirror 10–20% to the candidate, score every response with an evaluator (faithfulness, tool-call correctness, response time), and compare cohort-level metrics for two weeks. Switch when the candidate wins on the metrics that matter to your workload and stays within your latency budget.