Claude Haiku 4.6 Anthropic
💰 Total Cost Calculation (from Plugin)
Output: $0.000313
Output: $0.000313
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.006250 (rounded ~ $0.01)
- Output Cost: $0.000313
- Total Cost: $0.003750
- Cost per 1K tokens: $0.000037
- Tokens per dollar: 26,933,333 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 75ms time to first token:
- Processing Time: 2 minutes, 7.32 seconds
- Latency: 75 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 794 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Claude Haiku 4.6. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →Mistral Small 3 Mistral AI
💰 Total Cost Calculation (from Plugin)
Output: $0.000075
Output: $0.000075
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.002500
- Output Cost: $0.000075
- Total Cost: $0.001450
- Cost per 1K tokens: $0.000014
- Tokens per dollar: 69,655,172 tokens
- Context Window: 128000 tokens
Speed & Performance Analysis
With a processing speed of 700 tokens per second and 90ms time to first token:
- Processing Time: 2 minutes, 34.57 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 700 tokens/second
- Effective Throughput: 654 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Mistral Small 3. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Claude Haiku 4.6| Rank | AI Model & Provider | Total Cost | vs Claude Haiku 4.6 | vs Mistral Small 3 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001450 Best Value | ↓ 61.3% cheaper | Same price |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.003813 | ↑ 1.7% more | ↑ 162.9% more |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.004750 | ↑ 26.7% more | ↑ 227.6% more |
| #4 |
Gemini 2.5 Flash
Google
|
$0.004750 | ↑ 26.7% more | ↑ 227.6% more |
| #5 |
Mistral Large 3
Mistral AI
|
$0.007250 (rounded ~ $0.01) | ↑ 93.3% more | ↑ 400% more |
| #6 |
Gemini 3.8 Flash
Google
|
$0.011250 (rounded ~ $0.01) | ↑ 200% more | ↑ 675.9% more |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.011438 (rounded ~ $0.01) | ↑ 205% more | ↑ 688.8% more |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.014750 (rounded ~ $0.01) | ↑ 293.3% more | ↑ 917.2% more |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.015000 (rounded ~ $0.02) | ↑ 300% more | ↑ 934.5% more |
| #10 |
Gemini 3.1 Flash
Google
|
$0.015250 (rounded ~ $0.02) | ↑ 306.7% more | ↑ 951.7% more |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.015250 (rounded ~ $0.02) | ↑ 306.7% more | ↑ 951.7% more |
| #12 |
o4-mini
OpenAI
|
$0.016225 (rounded ~ $0.02) | ↑ 332.7% more | ↑ 1019% more |
| #13 |
Gemini 3.6 Flash
Google
|
$0.022500 (rounded ~ $0.02) | ↑ 500% more | ↑ 1451.7% more |
| #14 |
Gemini 3.5 Flash
Google
|
$0.022875 (rounded ~ $0.02) | ↑ 510% more | ↑ 1477.6% more |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.027563 (rounded ~ $0.03) | ↑ 635% more | ↑ 1800.9% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.027563 (rounded ~ $0.03) | ↑ 635% more | ↑ 1800.9% more |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.030000 | ↑ 700% more | ↑ 1969% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.038125 (rounded ~ $0.04) | ↑ 916.7% more | ↑ 2529.3% more |
| #19 |
Gemini 2.5 Pro
Google
|
$0.039375 | ↑ 950% more | ↑ 2615.5% more |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.045000 (rounded ~ $0.05) | ↑ 1100% more | ↑ 3003.4% more |
| #21 |
Grok 4.3
xAI
|
$0.057000 (rounded ~ $0.06) | ↑ 1420% more | ↑ 3831% more |
| #22 |
Grok 4.20 Beta
xAI
|
$0.057000 (rounded ~ $0.06) | ↑ 1420% more | ↑ 3831% more |
| #23 |
Gemini 3.1 Pro
Google
|
$0.061000 (rounded ~ $0.06) | ↑ 1526.7% more | ↑ 4106.9% more |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 5072.4% more |
| #25 |
Claude Opus 5
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 5072.4% more |
| #26 |
Claude Opus 4.8
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 5072.4% more |
| #27 |
Claude Opus 4.6
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↑ 1900% more | ↑ 5072.4% more |
| #28 |
GPT-5.4
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 5158.6% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 5158.6% more |
| #30 |
GPT-5.5 Instant
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 5158.6% more |
| #31 |
GPT-5.6 Sol
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↑ 1933.3% more | ↑ 5158.6% more |
| #32 |
Claude Fable 5.1
Anthropic
|
$0.140625 | ↑ 3650% more | ↑ 9598.3% more |
| #33 |
Claude Mythos 5.1
Anthropic
|
$0.140625 | ↑ 3650% more | ↑ 9598.3% more |
| #34 |
o3 Deep Research
OpenAI
|
$0.147500 (rounded ~ $0.15) | ↑ 3833.3% more | ↑ 10072.4% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.150000 | ↑ 3900% more | ↑ 10244.8% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.150000 | ↑ 3900% more | ↑ 10244.8% more |
| #37 |
GPT-5.5
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 3966.7% more | ↑ 10417.2% more |
| #38 |
o3 Pro
OpenAI
|
$0.295000 (rounded ~ $0.30) | ↑ 7766.7% more | ↑ 20244.8% more |
| #39 |
GPT-6 Astra
OpenAI
|
$0.300000 | ↑ 7900% more | ↑ 20589.7% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.330750 | ↑ 8720% more | ↑ 22710.3% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.330750 | ↑ 8720% more | ↑ 22710.3% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
For AAA game studios, live customer chat isn’t just about answering tickets—it’s about maintaining character voice consistency and brand tone under pressure. When evaluating Claude Haiku 4.6 versus Mistral Small 3 for high-volume support pipelines, the decision often hinges on the trade-off between instruction-following nuance and raw throughput speed. Claude Haiku 4.6 consistently demonstrates a higher capability for complex instruction following, which is critical when agents need to adhere to strict persona guidelines and multi-step escalation procedures without breaking character.
Mistral Small 3, by contrast, excels in scenarios where latency is the absolute priority. Its architecture is tuned for rapid, lightweight inference, making it an excellent candidate for real-time chat interfaces where every millisecond counts toward a smoother user experience. In environments where the support volume scales quickly and the interactions are relatively straightforward, Mistral Small 3 provides the efficiency required to keep compute costs predictable. However, if your support chatbot requires deeper reasoning—such as analyzing dense player account data or managing complex multi-intent requests—Claude Haiku 4.6 often yields higher accuracy in a single turn, reducing the need for follow-up prompts. For studio leads, the best approach is often to route straightforward queries through Mistral for speed, reserving Claude for escalated, high-context conversations where brand accuracy is paramount.